{"id":"W7004855656","doi":"","title":"Canada","year":2018,"lang":"en","type":"other","venue":"YorkSpace (York University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Identification (biology); Process (computing)","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":[0.00008986878,0.0002329766,0.0004667039,0.0005047558,0.0001264783,0.00004489237,0.0005275283,0.0001965923,0.08402379],"category_scores_gemma":[0.0000186937,0.0003156103,0.000103185,0.0003595291,0.0001706925,0.00005185314,0.0001827524,0.0001061025,0.034817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004035359,"about_ca_system_score_gemma":0.0002061086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6315393,"about_ca_topic_score_gemma":0.6677167,"domain_scores_codex":[0.9988477,0.000007868312,0.0001530961,0.0006036541,0.00003617585,0.0003515093],"domain_scores_gemma":[0.9990197,0.00001534621,0.0003802877,0.0004496329,0.00001279419,0.0001221831],"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":[0.000003308778,0.000009570284,0.000453182,0.00001312021,0.0001360476,0.00002055403,0.00003924215,0.000001629881,2.234386e-8,0.06243821,0.9368586,0.000026488],"study_design_scores_gemma":[0.0002466259,0.000009309573,0.00003516336,0.00003307747,0.00001384806,6.314262e-7,0.0005315911,0.00001349642,4.149758e-7,0.00008041013,0.9986797,0.0003557556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006870374,0.000767394,0.00009749574,0.0002131653,0.003803357,0.0001201162,0.001089936,0.0001071912,0.9937945],"genre_scores_gemma":[0.0001155944,0.0002596117,0.0002882245,0.0001333515,0.0003004418,3.922147e-7,0.00002197061,0.0001246488,0.9987558],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0623578,"threshold_uncertainty_score":0.9999296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039897291630234,"score_gpt":0.1455608237024045,"score_spread":0.1251618507861022,"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."}}