{"id":"W3009086525","doi":"","title":"ACPNS Legal Case Notes Series: 2019-31 Democracy Watch v Canada","year":2016,"lang":"en","type":"report","venue":"QUT ePrints (Queensland University of Technology)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law; Prejudice (legal term); Democracy; Extension (predicate logic); Political science; History; Sociology; Politics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002825327,0.0005470205,0.0003672824,0.002357729,0.01618519,0.005824577,0.002391681,0.01097508,0.0352227],"category_scores_gemma":[0.01158857,0.000769583,0.0006682096,0.003059704,0.002753025,0.001675704,0.002604076,0.008310086,0.005139194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0474207,"about_ca_system_score_gemma":0.1695577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.965925,"about_ca_topic_score_gemma":0.9873551,"domain_scores_codex":[0.993737,0.0003157526,0.0001899582,0.0003312727,0.003234727,0.002191262],"domain_scores_gemma":[0.9951101,0.001003228,0.0001781251,0.0002196232,0.002262005,0.00122692],"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":[0.00006193652,0.0001232811,0.00445397,0.0001187264,0.00001641522,0.001446588,0.002209207,0.0002318082,0.0003037461,0.07958949,0.8978573,0.01358763],"study_design_scores_gemma":[0.0000692452,0.00004676767,0.01648507,0.0004227505,0.0000465936,0.0005319176,0.004389328,0.0003506956,0.0009345438,0.005420583,0.9712295,0.00007315208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03021738,0.00315834,0.0008252391,0.0602546,0.003131457,0.00103878,0.01312115,0.0001983757,0.8880547],"genre_scores_gemma":[0.1230586,0.002164357,0.0006450682,0.04070509,0.0003783613,0.0004649485,0.003514501,0.0001073052,0.8289617],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0474207,"threshold_uncertainty_score":0.3440629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417692184136748,"score_gpt":0.2539628163535131,"score_spread":0.2397858945121457,"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."}}