{"id":"W4398985523","doi":"10.7910/dvn/v1rjpf/hfegan","title":"mea20151030_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001380246,0.003565168,0.002277697,0.005552966,0.001373228,0.005355116,0.004684312,0.003671136,0.3187478],"category_scores_gemma":[0.01044274,0.001249715,0.001878978,0.009984508,0.0008334877,0.003465952,0.003963795,0.002433483,0.3625746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002361911,"about_ca_system_score_gemma":0.002759677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03558158,"about_ca_topic_score_gemma":0.05240227,"domain_scores_codex":[0.9987703,0.0002418879,0.0001207673,0.0003939956,0.0002280022,0.0002450563],"domain_scores_gemma":[0.9964612,0.001108368,0.0002842145,0.0008754723,0.0008541243,0.000416624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003087493,0.000006475644,0.0001649368,0.0004600776,0.00001952596,0.000006911745,0.00001433939,0.0001117454,0.00003790838,0.000382985,0.9981093,0.0006548538],"study_design_scores_gemma":[0.0002403874,0.00001353579,0.001161641,0.0003256218,0.00002642135,0.00002234563,0.0000651533,0.000236303,0.0002028934,0.001896753,0.9957754,0.00003353968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002425024,0.00003894622,0.00002765092,0.00006805141,0.00002449381,0.000003975705,0.9987896,0.0004133474,0.0006097314],"genre_scores_gemma":[0.0002144431,0.00005739683,0.0001369022,0.00008445288,0.00001381315,0.00004584793,0.9983788,0.0002544169,0.0008139356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6812522,"threshold_uncertainty_score":0.9717236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881600183080518,"score_gpt":0.2583561126352075,"score_spread":0.2295401108044023,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}