{"id":"W1596694339","doi":"","title":"Accommodating diversity in Quebec and Europe : different legal concepts, similar results?","year":2009,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Political science; Geography; Epistemology; Law; Philosophy","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":[0.01663209,0.0003651184,0.001134341,0.003888032,0.01523065,0.01647457,0.004800162,0.006208725,0.01817222],"category_scores_gemma":[0.05454087,0.0002803417,0.001096623,0.008096579,0.01033193,0.01149726,0.01032839,0.003572676,0.0006547279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04708491,"about_ca_system_score_gemma":0.1045481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9233847,"about_ca_topic_score_gemma":0.9517453,"domain_scores_codex":[0.9782978,0.006573955,0.0006471596,0.001197497,0.005313936,0.007969783],"domain_scores_gemma":[0.9552732,0.01692453,0.002491261,0.003084669,0.01335806,0.00886825],"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":[0.0004752495,0.0005161733,0.1240491,0.0007902494,0.0003201058,0.001170321,0.06616532,0.003302738,0.0006629901,0.5101863,0.09847834,0.1938831],"study_design_scores_gemma":[0.0003308154,0.0002053855,0.3180413,0.004950396,0.0003873475,0.0006562004,0.2605925,0.003496236,0.001374757,0.1124325,0.2971711,0.0003615413],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4242859,0.01375676,0.004601768,0.263248,0.0007812105,0.0002635392,0.001671209,0.0001536332,0.291238],"genre_scores_gemma":[0.9584172,0.001474302,0.002309896,0.0210845,0.0001378234,0.0001329798,0.0003288496,0.00005592232,0.01605848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07661533,"threshold_uncertainty_score":0.3416265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07864841637126388,"score_gpt":0.3768749213181385,"score_spread":0.2982265049468746,"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."}}