{"meta":{"query_hash":"7cd2c735e267","filters":{"venue":"European Journal of Artificial Intelligence and Machine Learning"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7cd2c735e267","api":"https://metacan.xera.ac/api/v1/cohort?venue=European+Journal+of+Artificial+Intelligence+and+Machine+Learning"},"results":[{"id":"W4281608338","doi":"10.24018/ejai.2022.1.3.9","title":"Machine Learning Model to Forecast Demand of Boston Bike-Ride Sharing","year":2022,"lang":"en","type":"article","venue":"European Journal of Artificial Intelligence and Machine Learning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Bike sharing; Revenue; Economic rent; Transport engineering; Demand forecasting; Operations research; Computer science; Revenue sharing; Engineering; Business; Finance; Economics; Civil engineering","score_opus":0.08167029365445776,"score_gpt":0.3143655153543865,"score_spread":0.23269522169992873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281608338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92984855,0.0006950425,0.05833027,0.0013455825,0.00012386295,0.000074009935,0.00522754,0.00084107043,0.0035142028],"genre_scores_gemma":[0.9847741,0.00015429045,0.007867488,0.000088231725,0.00003487591,0.00006300101,0.004515343,0.000018468043,0.0024841991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971586,0.000060894974,0.00002511374,0.00010990268,0.000037607293,0.000050499308],"domain_scores_gemma":[0.9986759,0.00077283365,0.000117919786,0.00005368956,0.00033125808,0.00004844613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007862205,0.0008678756,0.0006517174,0.0009020014,0.00029526098,0.0007914112,0.0011511885,0.0011475136,0.0019594512],"category_scores_gemma":[0.002539137,0.00030693406,0.00062869204,0.0009576,0.00025223146,0.0007462821,0.0003639962,0.0010891114,0.0005647116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081670834,0.000090539324,0.009601908,0.000025375302,0.000022465285,0.000055955214,0.000019737743,0.9792467,0.00031878444,0.00027089793,0.001541641,0.008724271],"study_design_scores_gemma":[0.0000020650064,0.0000061377796,0.0006521524,0.0000010054079,0.0000013914195,0.0000019004616,0.0000037535094,0.99914837,0.000041513566,0.00007419228,0.00006573071,0.0000018620264],"about_ca_topic_score_codex":0.07375666,"about_ca_topic_score_gemma":0.040293418,"teacher_disagreement_score":0.07375666,"about_ca_system_score_codex":0.0016690006,"about_ca_system_score_gemma":0.0006212892,"threshold_uncertainty_score":0.14665473},"labels":[],"label_agreement":null},{"id":"W4387739701","doi":"10.24018/ejai.2023.2.4.29","title":"Review on Technologies Applied to Classification of Tomato Leaf Virus Diseases","year":2023,"lang":"en","type":"article","venue":"European Journal of Artificial Intelligence and Machine Learning","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Hyperspectral imaging; Convolutional neural network; Deep learning; Categorization; Virus diseases; Artificial intelligence; Computer science; Disease; Biotechnology; Machine learning; Virus; Biology; Medicine; Virology; Pathology","score_opus":0.06520225440652133,"score_gpt":0.2748350840814001,"score_spread":0.20963282967487878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387739701","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028443174,0.9594228,0.025994908,0.0009430001,0.0013575426,0.000051064784,0.00030824624,0.0002532063,0.00882492],"genre_scores_gemma":[0.013310909,0.95738614,0.020784266,0.00065990555,0.0013511109,0.000045466742,0.0007682072,0.000044707405,0.0056492346],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963677,0.00005193639,0.00005229513,0.00009450623,0.00013465185,0.000029788995],"domain_scores_gemma":[0.9993799,0.0002494277,0.00006430758,0.000029083718,0.0002541588,0.00002318108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060843246,0.0009119244,0.00085067225,0.002611573,0.0002523835,0.0011707742,0.00077203667,0.0008518922,0.0036517077],"category_scores_gemma":[0.0011330481,0.00029055754,0.00092297787,0.0027176775,0.0003037355,0.0015275192,0.00038577386,0.00076340215,0.0027731366],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006716141,0.00006332029,0.00069583295,0.008439231,0.00013959859,0.00015056426,0.000073714844,0.0018668788,0.008666119,0.0033352603,0.026472438,0.95002997],"study_design_scores_gemma":[0.000013480365,0.0002825123,0.0049816845,0.0043359953,0.00037248727,0.0013735102,0.00015861583,0.0065450384,0.011470212,0.006457731,0.96391445,0.00009437977],"about_ca_topic_score_codex":0.002020249,"about_ca_topic_score_gemma":0.0017222589,"teacher_disagreement_score":0.0036517077,"about_ca_system_score_codex":0.0004118583,"about_ca_system_score_gemma":0.000859113,"threshold_uncertainty_score":0.01221621},"labels":[],"label_agreement":null}]}