{"id":"W1761713647","doi":"","title":"Custody, Control, and Confusion: Legal, Historical, and Territorial Aspects of Court Records in Ontario","year":2010,"lang":"en","type":"article","venue":"Archivaria","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Locale (computer software); Legislation; Law; Political science; Context (archaeology); Confusion; Tribunal; Jurisdiction; Humanities; Ethnology; History; Archaeology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002589669,0.0001594185,0.0003125404,0.004036356,0.01807651,0.007814266,0.001354964,0.0009600789,0.005593303],"category_scores_gemma":[0.02029081,0.0004034483,0.0001793666,0.01336955,0.01072857,0.002979831,0.003879913,0.0009747402,0.0001956491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1163474,"about_ca_system_score_gemma":0.08639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847835,"about_ca_topic_score_gemma":0.9949335,"domain_scores_codex":[0.9960836,0.0004592343,0.0003195691,0.0002866949,0.001724222,0.001126646],"domain_scores_gemma":[0.9838759,0.005635388,0.004196921,0.0006968129,0.004220651,0.001374235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001235702,0.00003228158,0.1394849,0.0003281617,0.00002518922,0.001815016,0.7091448,0.0004352945,0.0007423708,0.09329757,0.01133079,0.04324015],"study_design_scores_gemma":[0.00001215505,0.00003100992,0.443524,0.0003792694,0.0000446404,0.0003749067,0.3940429,0.0003699238,0.0003389945,0.003869767,0.156921,0.00009131252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753513,0.003126844,0.0005595656,0.009790402,0.00008203941,0.00009121512,0.0009612385,0.0000239624,0.1100135],"genre_scores_gemma":[0.9832739,0.001359847,0.0001733746,0.0002203657,0.00002896211,0.00003268865,0.000158952,0.00001184933,0.01474014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1163474,"threshold_uncertainty_score":0.8441638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960065022591699,"score_gpt":0.3040535594768348,"score_spread":0.2844529092509178,"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."}}