{"id":"W6982996329","doi":"","title":"The Law of Enclosures : Entre-temps. \\n The Law of Enclosures, Canada 2001, 111 minutes","year":2001,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislation; Work (physics); Liability; Government (linguistics); Tort","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":[],"consensus_categories":[],"category_scores_codex":[0.0002850281,0.0001425023,0.0002179924,0.00002959191,0.0005206821,0.000009304877,0.0003242902,0.00006855206,0.000113583],"category_scores_gemma":[0.00007510858,0.00009962812,0.00009988777,0.0001877756,0.0001434003,0.00007862514,0.00009329061,0.0001001368,0.000002713879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630286,"about_ca_system_score_gemma":0.00008946494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6701949,"about_ca_topic_score_gemma":0.9902274,"domain_scores_codex":[0.9988298,0.0000994556,0.0002866842,0.0001351704,0.000392384,0.0002565383],"domain_scores_gemma":[0.9983506,0.0006615648,0.0003383326,0.0004221537,0.0001570327,0.00007034735],"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":[0.00009715322,0.00006446554,0.003611782,0.00004891617,0.0001180416,0.00006799526,0.0007482572,0.0003194004,0.00027698,0.8219877,0.1707232,0.001936052],"study_design_scores_gemma":[0.0005279573,0.00005073524,0.002638008,0.00004705994,0.0001520173,0.00007244984,0.001059549,0.001111294,0.001179965,0.02289187,0.9701028,0.0001663177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271187,0.01073521,0.0002590302,0.02523462,0.0003157612,0.0006513104,0.0001691396,0.00006366997,0.03545254],"genre_scores_gemma":[0.9913011,0.0007327708,0.0004749743,0.0001298437,0.00004933842,0.000002744597,0.00001885726,0.00001559581,0.007274756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7993796,"threshold_uncertainty_score":0.4062717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284024093479375,"score_gpt":0.1966356940764205,"score_spread":0.1837954531416267,"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."}}