{"id":"W4292358045","doi":"","title":"Dépendance économique chez les sous-traitants des plateformes numériques de la course urbaine : enjeux de définitions et de volonté politique","year":2018,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004220946,0.0009671153,0.001149506,0.003354081,0.001904168,0.007035504,0.001240392,0.001785342,0.007291486],"category_scores_gemma":[0.02262142,0.0005712762,0.001283574,0.004427192,0.003863509,0.004800214,0.001689441,0.003101517,0.0006237538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007755838,"about_ca_system_score_gemma":0.002783511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2478118,"about_ca_topic_score_gemma":0.1312871,"domain_scores_codex":[0.9964064,0.001543357,0.0001738441,0.0007617874,0.0006762876,0.0004381884],"domain_scores_gemma":[0.9825981,0.01296476,0.001510596,0.0008824149,0.00145984,0.0005843491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009154156,0.0003374689,0.572023,0.0003117635,0.0007017503,0.000934773,0.0249017,0.05587889,0.006349673,0.268851,0.001853555,0.06694096],"study_design_scores_gemma":[0.00004576981,0.0001875957,0.8436611,0.0002774099,0.0001197915,0.0006521968,0.01253883,0.0860645,0.002223997,0.03297692,0.02105544,0.0001964047],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482263,0.001082819,0.03237992,0.001325184,0.00004285189,0.00003506313,0.0009334664,0.0001098959,0.01586458],"genre_scores_gemma":[0.9874561,0.0005967168,0.005536121,0.00003891973,0.00004227485,0.00009109024,0.0005668525,0.00007348626,0.005598405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2478118,"threshold_uncertainty_score":0.4927388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739312073903769,"score_gpt":0.2866161597921156,"score_spread":0.2492230390530779,"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."}}