{"id":"W4287938674","doi":"","title":"Mieux connaître les livreurs des plateformes numériques dans les grandes villes","year":2020,"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; Geography; Humanities; Geology; Art","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":[0.0008647215,0.0008019881,0.000609458,0.004957543,0.001721917,0.005385283,0.000792603,0.001229597,0.01404033],"category_scores_gemma":[0.006321762,0.0005827539,0.0007591962,0.005473302,0.00259284,0.002482717,0.001028767,0.001322146,0.002916825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002424633,"about_ca_system_score_gemma":0.00113023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1045482,"about_ca_topic_score_gemma":0.1075824,"domain_scores_codex":[0.9989883,0.0001481466,0.00004683235,0.0002782629,0.0004559558,0.00008242347],"domain_scores_gemma":[0.9970049,0.001360367,0.0003010248,0.0003945284,0.0008238926,0.0001152021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007634932,0.000152151,0.2047806,0.001860581,0.000302006,0.001864566,0.04208303,0.2142541,0.05739039,0.1014079,0.009517883,0.3656235],"study_design_scores_gemma":[0.00005087407,0.0001668381,0.5641638,0.0006646893,0.0001332853,0.001852444,0.0260675,0.1529486,0.03264952,0.02107709,0.1996829,0.0005423944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7548454,0.002042816,0.116825,0.001312209,0.0002819149,0.0001208839,0.004125102,0.002891685,0.1175551],"genre_scores_gemma":[0.9250509,0.0009076151,0.0405412,0.00005951232,0.00004904958,0.00008126942,0.001406665,0.0007875802,0.03111619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1045482,"threshold_uncertainty_score":0.2078794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04734704603430451,"score_gpt":0.2532059128224554,"score_spread":0.2058588667881509,"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."}}