{"id":"W4383749625","doi":"10.56687/9781529221268-009","title":"Mitigating Social Inequities in Quebec: Governance Law to the Rescue?","year":2023,"lang":"en","type":"book-chapter","venue":"Bristol University Press eBooks","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Political science; Public administration; Law; Business","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":[0.001366668,0.0004718142,0.0002535373,0.0007496615,0.01048401,0.006789061,0.001252874,0.002797676,0.007923768],"category_scores_gemma":[0.001858092,0.0001874689,0.0003175451,0.00144522,0.009458672,0.002371844,0.001821456,0.003135308,0.000528424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07984915,"about_ca_system_score_gemma":0.0794736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749857,"about_ca_topic_score_gemma":0.9863659,"domain_scores_codex":[0.9988043,0.0002964734,0.00001512485,0.0000842557,0.0003006948,0.0004991497],"domain_scores_gemma":[0.9992834,0.0001624388,0.00003447842,0.00006347307,0.0002861533,0.0001702283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008554853,0.00002277373,0.001040752,0.00006476774,0.000007059379,0.0001724911,0.00673656,0.001006152,0.0001306297,0.7778449,0.1728997,0.04006555],"study_design_scores_gemma":[0.00001168962,0.00001199293,0.004221076,0.0003514812,0.00000935638,0.00006960041,0.007190564,0.001035881,0.0001441144,0.06782009,0.9191042,0.00002987544],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01395669,0.02432159,0.004146201,0.1763162,0.001775353,0.0001203762,0.0002207693,0.000143642,0.7789991],"genre_scores_gemma":[0.4584449,0.013453,0.003379502,0.02891864,0.0004561347,0.0001943452,0.0001972729,0.0001016207,0.4948547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07984915,"threshold_uncertainty_score":0.5793488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04817716607791754,"score_gpt":0.2567903410647537,"score_spread":0.2086131749868361,"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."}}