{"id":"W3200060882","doi":"10.21991/cf29426","title":"Bringing the Mixed Constitution Back In","year":2021,"lang":"en","type":"article","venue":"Constitutional Forum / Forum constitutionnel","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Constitution; Misrepresentation; Law; Jurisprudence; Mixing (physics); Salience (neuroscience); Law and economics; Quality (philosophy); Economics; Political science; Philosophy; Computer science; Epistemology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005234584,0.000471008,0.0004890922,0.002115528,0.01166377,0.0146628,0.001542574,0.003651746,0.009985974],"category_scores_gemma":[0.008426442,0.0004460121,0.0005440427,0.001532168,0.02760533,0.008818462,0.007817698,0.006949851,0.0007853666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02875652,"about_ca_system_score_gemma":0.02886908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2483055,"about_ca_topic_score_gemma":0.2829414,"domain_scores_codex":[0.9927981,0.001836791,0.0001755726,0.00101532,0.002461855,0.001712474],"domain_scores_gemma":[0.9979087,0.0005687902,0.0001076532,0.0005328972,0.0006293331,0.0002526909],"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":[0.000001727595,0.000001044664,0.00004247536,0.000002973418,0.000001077789,0.00001753212,0.0005295103,0.0000343496,0.00003146976,0.9974087,0.0007182708,0.001210881],"study_design_scores_gemma":[0.00001407185,0.00001240773,0.0006327531,0.00009542381,0.00001511502,0.00007552576,0.003169712,0.0007925974,0.0003753256,0.7551426,0.2396501,0.00002436199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03654997,0.002348071,0.02715819,0.04249293,0.0009632475,0.00008969421,0.0001725616,0.0001434692,0.8900819],"genre_scores_gemma":[0.9235222,0.0008170026,0.007833798,0.008402732,0.0002934345,0.0001241917,0.0001225343,0.0001440226,0.05874002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2483055,"threshold_uncertainty_score":0.4937204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819535457613723,"score_gpt":0.2318533633083613,"score_spread":0.2036580087322241,"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."}}