{"id":"W2583389684","doi":"","title":"L'encadrement constitutionnel du découpage des circonscriptions électorales. Etude de droit comparé","year":2016,"lang":"fr","type":"dissertation","venue":"theses.fr (ABES)","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Constitution; Suffrage; Philosophy; Politics; Law","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":[0.005341647,0.0003253356,0.0003066986,0.002647035,0.008109843,0.0108861,0.0008461125,0.001239419,0.01622408],"category_scores_gemma":[0.01335512,0.0004234964,0.0003472342,0.00350598,0.006952929,0.003442088,0.00409108,0.002456177,0.002793105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005880734,"about_ca_system_score_gemma":0.006561946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03545876,"about_ca_topic_score_gemma":0.04251977,"domain_scores_codex":[0.9938871,0.00222948,0.0002367085,0.0008643768,0.001938763,0.0008434579],"domain_scores_gemma":[0.9948429,0.001610466,0.0006871459,0.0009967729,0.001409883,0.0004528853],"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":[0.00005356539,0.0000166881,0.004299143,0.00008305973,0.00001190713,0.0001826867,0.03045431,0.0002053577,0.001073659,0.9062169,0.008577164,0.04882554],"study_design_scores_gemma":[0.00002140413,0.00004062085,0.0216288,0.0002090046,0.00002040987,0.0004030363,0.01700179,0.0005351987,0.002003031,0.03527384,0.9228169,0.00004588928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.22338,0.005616262,0.01903194,0.01126476,0.001977805,0.0001135477,0.0006245894,0.0002484014,0.7377428],"genre_scores_gemma":[0.7887836,0.001638235,0.004347056,0.0007279046,0.0005464184,0.0001560709,0.0003454565,0.0002432362,0.2032121],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03545876,"threshold_uncertainty_score":0.07050472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1463317819597482,"score_gpt":0.387764407224592,"score_spread":0.2414326252648438,"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."}}