{"meta":{"query_hash":"d00159c041b7","filters":{"venue":"ISRN Machine Vision"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/d00159c041b7","api":"https://metacan.xera.ac/api/v1/cohort?venue=ISRN+Machine+Vision"},"results":[{"id":"W1965202763","doi":"10.1155/2013/876386","title":"New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis","year":2013,"lang":"en","type":"article","venue":"ISRN Machine Vision","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grayscale; Texture (cosmology); Artificial intelligence; Computer science; Pattern recognition (psychology); Texture compression; Chromatic scale; Texture filtering; Image texture; Computer vision; Bidirectional texture function; Image processing; Image (mathematics); Mathematics","score_opus":0.01099123100074101,"score_gpt":0.2941408181144594,"score_spread":0.2831495871137184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965202763","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055555752,0.00019923877,0.9908768,0.0025208385,0.00004067041,0.00045294757,0.00005294312,0.00023067529,0.000070297705],"genre_scores_gemma":[0.39871994,0.00003469947,0.59973085,0.00034916052,0.00004651908,0.000043526084,0.00014993171,0.0000124705675,0.0009128904],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989133,0.000042035103,0.00021225585,0.00044551658,0.00019039231,0.00019653395],"domain_scores_gemma":[0.99886394,0.00021604756,0.00010231137,0.0005477747,0.00013371186,0.0001362311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017493834,0.0001535735,0.00020851711,0.0002132971,0.00015386438,0.00027793474,0.00039148296,0.000048533955,0.0000790311],"category_scores_gemma":[0.0000866314,0.00011437233,0.00010427737,0.00064513285,0.000044138193,0.00067802117,0.00013777682,0.00008466049,0.000026686093],"study_design_candidate":"simulation_or_modeling","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":[0.00006694927,0.00030043803,0.0049722386,0.00012628378,0.00012912284,0.0000052589176,0.0001496747,0.000013881778,0.23168835,0.004870854,0.03526261,0.7224143],"study_design_scores_gemma":[0.00093375205,0.00025553384,0.029833239,0.000028224384,0.00011763343,0.0000047207236,0.00000968141,0.85181236,0.09932246,0.0014613009,0.01587275,0.0003483572],"about_ca_topic_score_codex":0.0005362,"about_ca_topic_score_gemma":0.000097659635,"teacher_disagreement_score":0.8517985,"about_ca_system_score_codex":0.000019747518,"about_ca_system_score_gemma":0.000050347055,"threshold_uncertainty_score":0.4663968},"labels":[],"label_agreement":null}]}