{"id":"W2767183016","doi":"","title":"The Canadian abridgment, second edition. Index to Canadian legal literature","year":2016,"lang":"en","type":"article","venue":"Books | Encyclopedia of Canadian Laws","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); History; Political science; Law; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005820647,0.001290286,0.001028659,0.01425866,0.006866999,0.006210258,0.002047142,0.00126994,0.2496169],"category_scores_gemma":[0.00401229,0.0006754556,0.0005376199,0.02901605,0.002366892,0.003810217,0.001422086,0.001746212,0.06102724],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04734701,"about_ca_system_score_gemma":0.06543771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9474969,"about_ca_topic_score_gemma":0.9804591,"domain_scores_codex":[0.9989607,0.00003006594,0.00004026197,0.00008508977,0.0007376259,0.0001462432],"domain_scores_gemma":[0.9975868,0.0001873412,0.0000646652,0.00006676435,0.001822361,0.0002720505],"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":[0.000003452331,0.000002398127,0.00007255268,0.0001298742,0.000001157639,0.00001551045,0.00008851373,0.00002176092,0.00002106584,0.003230745,0.9733209,0.02309213],"study_design_scores_gemma":[8.37463e-7,7.106006e-7,0.0005940401,0.0001556009,0.000002099659,0.00002191435,0.0001119631,0.000009770298,0.00001166432,0.0005383076,0.9985484,0.000004548722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007218453,0.2687532,0.0007005414,0.01944947,0.01026564,0.0001146143,0.02699451,0.0007041745,0.672296],"genre_scores_gemma":[0.005685545,0.1153802,0.001098549,0.003059442,0.001398796,0.00006896548,0.007411488,0.0003344534,0.8655626],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.952653,"threshold_uncertainty_score":0.8350517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143940557310928,"score_gpt":0.2432084777981032,"score_spread":0.2317690722249939,"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."}}