{"id":"W6994152714","doi":"","title":"Canada, 2017","year":2021,"lang":"en","type":"other","venue":"Deep Blue (University of Michigan)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007681397,0.0003210651,0.0006106468,0.000345786,0.0001085675,0.000008412496,0.0008379061,0.0003551822,0.01997364],"category_scores_gemma":[0.00001803527,0.0004835323,0.0001777441,0.0003203803,0.0001963407,0.00004042353,0.0002748868,0.0003195392,0.001067909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692019,"about_ca_system_score_gemma":0.001489564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8885577,"about_ca_topic_score_gemma":0.9998766,"domain_scores_codex":[0.9984454,0.00009094721,0.0001010986,0.0005141264,0.0004839403,0.0003645231],"domain_scores_gemma":[0.9984305,0.00002839521,0.0004141642,0.0008316553,0.00009440768,0.000200913],"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":[0.00002269798,0.00005932324,0.00001822709,0.0001702228,0.000527921,0.001065921,0.004662213,0.00001444004,0.0005001692,0.0002425344,0.9924966,0.0002197099],"study_design_scores_gemma":[0.0005993196,0.00001104293,0.0003298296,0.0002486717,0.0001927443,0.00001903579,0.01619198,0.00005624947,0.0000369787,0.000006024857,0.9818539,0.0004542061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02810266,0.003479562,0.000196805,0.0001600637,0.0005662038,0.0002722452,0.002369539,0.0001814127,0.9646715],"genre_scores_gemma":[0.002284088,0.0001381412,0.001673985,0.00009001246,0.0001359353,8.314466e-8,0.0007137962,0.0005430333,0.9944209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1113189,"threshold_uncertainty_score":0.9997616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008378949166233511,"score_gpt":0.1720789767447438,"score_spread":0.1637000275785102,"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."}}