{"id":"W2794021854","doi":"","title":"Index to the statutes of Alberta: supplement to second edition.","year":2016,"lang":"en","type":"article","venue":"Books | Encyclopedia of Canadian Laws","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Statute; Law; Political science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003312895,0.00008774699,0.000168271,0.0008953552,0.0004002694,0.00004894563,0.0004082586,0.00006668203,0.007250916],"category_scores_gemma":[0.0002500023,0.00007743313,0.00006759123,0.0003733429,0.0002759082,0.000138419,0.00002759027,0.00005477386,0.0001389954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007464638,"about_ca_system_score_gemma":0.003001275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948199,"about_ca_topic_score_gemma":0.9999822,"domain_scores_codex":[0.9987149,0.00006511008,0.0002713922,0.000183661,0.000336305,0.0004286235],"domain_scores_gemma":[0.9985259,0.000165872,0.00007864317,0.0002755492,0.0001207251,0.0008332896],"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":[0.000006223764,0.000007139694,0.001399392,0.000009090119,0.00001979794,0.000003327216,0.009487279,0.000001607853,0.00001660988,0.07598386,0.9059309,0.007134724],"study_design_scores_gemma":[0.0001103178,0.00003737107,0.009970346,0.00002720392,0.000009946708,2.80107e-7,0.0006275013,4.549869e-8,0.00001900006,0.0005828684,0.9884981,0.0001170405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02674907,0.0001096242,0.00003142382,0.03591793,0.001286994,0.0007562314,0.001414523,0.00001198843,0.9337222],"genre_scores_gemma":[0.5665653,0.0002998696,0.0002178363,0.003665281,0.001208763,0.0001161944,0.00001600955,0.00003206692,0.4278787],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5398162,"threshold_uncertainty_score":0.9936566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007935753050001673,"score_gpt":0.2153242162294263,"score_spread":0.2073884631794247,"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."}}