{"id":"W26503449","doi":"10.1186/s12862-015-0511-1","title":"Les politiques publiques compensatoires : Les cas des RMI et de la Politique de la ville","year":2005,"lang":"en","type":"dissertation","venue":"BMC Evolutionary Biology","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005122006,0.0003249169,0.0004721344,0.001910993,0.003160719,0.005007097,0.0007447859,0.001643384,0.02451807],"category_scores_gemma":[0.0247637,0.0003272353,0.0004082884,0.002549339,0.005604307,0.004871276,0.002433499,0.002483876,0.002146222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00417882,"about_ca_system_score_gemma":0.002511505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00909541,"about_ca_topic_score_gemma":0.009483944,"domain_scores_codex":[0.9949092,0.002144756,0.0002562381,0.0008809183,0.001130564,0.0006783743],"domain_scores_gemma":[0.9863433,0.008024944,0.002399005,0.001699511,0.0008428465,0.0006904759],"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":[0.0001143458,0.00005256265,0.01031165,0.0001791535,0.00004710095,0.001658443,0.00556094,0.002026919,0.002794482,0.8698559,0.01028484,0.09711376],"study_design_scores_gemma":[0.000102263,0.0001350461,0.02966551,0.0004346541,0.0001036588,0.004652694,0.01060116,0.01730677,0.006888868,0.4233062,0.5066662,0.0001369548],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3319042,0.00574235,0.1329122,0.05013311,0.001101208,0.0002355832,0.00108688,0.002044758,0.4748397],"genre_scores_gemma":[0.950852,0.001031885,0.01350912,0.0005249117,0.0002707815,0.0001162431,0.0002737794,0.0001611049,0.03326022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02451807,"threshold_uncertainty_score":0.08202112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219322302013828,"score_gpt":0.4208057225519146,"score_spread":0.3786124995317763,"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."}}