{"id":"W2918367616","doi":"10.7202/1056305ar","title":"Technologies numériques et transformations des industries : considération des effets de la numérisation du service des transports publics individualisés en France","year":2019,"lang":"fr","type":"article","venue":"Lien social et Politiques","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Publics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001575859,0.0003500799,0.0003646468,0.0002808555,0.0006774632,0.001619115,0.0003097455,0.0008461972,0.0002210446],"category_scores_gemma":[0.0003531854,0.0003813583,0.0001144235,0.0006375941,0.0007498214,0.01105447,0.00006980885,0.0005903107,0.00007128811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845576,"about_ca_system_score_gemma":0.000251094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009789567,"about_ca_topic_score_gemma":0.005149803,"domain_scores_codex":[0.9982324,0.0001573745,0.0005125396,0.0002988249,0.000200561,0.0005982539],"domain_scores_gemma":[0.9986361,0.0004230174,0.0003023734,0.0001602431,0.0004475125,0.00003071119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001751389,0.0001365952,0.4760475,0.00135473,0.00008208123,0.000003477365,0.07966862,0.00005769463,0.00003193325,0.4289345,0.0005685292,0.01309679],"study_design_scores_gemma":[0.0009197755,0.0000421545,0.2465244,0.00083503,0.00009523974,0.00001711911,0.08752269,0.0003049815,0.001797952,0.5962595,0.06500071,0.0006804162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435799,0.001182685,0.002146244,0.01219055,0.0002527018,0.0005269705,0.0001382699,0.0007554532,0.03922729],"genre_scores_gemma":[0.9942508,0.001774344,0.001112927,0.001573935,0.0004513005,0.00008994672,0.0004195386,0.00004566789,0.000281567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2295231,"threshold_uncertainty_score":0.9998639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194619713203213,"score_gpt":0.271240581658967,"score_spread":0.2492943845269348,"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."}}