{"id":"W2767390495","doi":"","title":"The Canadian abridgment : index to Canadian legal literature, 1985-1986","year":2016,"lang":"en","type":"article","venue":"Books | Encyclopedia of Canadian Laws","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Political science; Law; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009603653,0.0002552177,0.0002564334,0.0009275486,0.002145523,0.0003609497,0.001020992,0.0002398083,0.0003124885],"category_scores_gemma":[0.0006565832,0.000187508,0.0001204364,0.0007595182,0.0004055676,0.0003532076,0.00003066719,0.000222903,0.0001986447],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002964891,"about_ca_system_score_gemma":0.0178445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999412,"about_ca_topic_score_gemma":0.9999997,"domain_scores_codex":[0.9966822,0.0001549426,0.0004001239,0.0004179154,0.0006128084,0.001732033],"domain_scores_gemma":[0.9934617,0.0002258154,0.00008474665,0.0005530454,0.0003293581,0.005345311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001889243,0.000005959699,0.009990296,0.00001263499,0.00003398298,0.0002681457,0.004860452,0.00000283602,0.000009162521,0.5665362,0.3667576,0.05150385],"study_design_scores_gemma":[0.0001049839,0.00003893663,0.01697797,0.0001398835,0.00001510047,0.000005254191,0.0003455037,5.497649e-7,0.00001157529,0.001172555,0.9808884,0.0002993462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01070253,0.000539652,0.000002758923,0.1043606,0.001228807,0.0006745597,0.0004069091,0.00002862535,0.8820555],"genre_scores_gemma":[0.9079709,0.0006349113,0.0000537138,0.003939735,0.0006322455,0.00005952747,0.000008245592,0.00003075684,0.08666994],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8972684,"threshold_uncertainty_score":0.9991536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550934689817804,"score_gpt":0.2593407210821971,"score_spread":0.2438313741840191,"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."}}