{"id":"W4283823652","doi":"10.1787/82c0b7f6-en","title":"A legislative and regulatory framework adapted to the socio-political and administrative context of Quebec","year":2022,"lang":"en","type":"book-chapter","venue":"OECD public governance reviews","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Legitimacy; Political science; Public administration; Corporate governance; Politics; Scope (computer science); Context (archaeology); Terminology; Order (exchange); Law and economics; Sociology; Law; Business; Economics; Geography; Management; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002016789,0.0003408495,0.0009147038,0.00002702563,0.0007730972,0.0001785369,0.0006618827,0.0002993875,0.001853407],"category_scores_gemma":[0.001877226,0.0002569269,0.0002206441,0.0001444427,0.001836244,0.0003408425,0.000286918,0.0006385302,0.00003230006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005048326,"about_ca_system_score_gemma":0.001416047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02673234,"about_ca_topic_score_gemma":0.1040047,"domain_scores_codex":[0.996673,0.0003768903,0.0006447281,0.0006153533,0.001131498,0.0005584968],"domain_scores_gemma":[0.9969827,0.00087981,0.001202418,0.0004177569,0.0001335785,0.0003837425],"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":[0.00000703981,0.000009834682,0.0001042654,0.00002930073,0.00002578755,0.000002109967,0.01023312,1.472505e-8,2.621524e-7,0.8888412,0.02287467,0.07787236],"study_design_scores_gemma":[0.0000788989,0.00008220704,0.001271179,0.0002634065,0.0000382228,0.000001466868,0.004276677,5.762492e-7,3.194891e-7,0.01734153,0.9763587,0.0002868601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003172914,0.08758412,0.00006596414,0.1040275,0.0005661319,0.002074869,0.0005128852,0.00003342861,0.8048179],"genre_scores_gemma":[0.1393187,0.09248054,0.0006103715,0.008164357,0.001477291,0.0003361184,0.00001417345,0.00007797357,0.7575205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.953484,"threshold_uncertainty_score":0.9999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09970622077701088,"score_gpt":0.3500158421543108,"score_spread":0.2503096213773,"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."}}