{"id":"W2996277960","doi":"10.3917/riges.444.0040","title":"Entretien avec Erik Grab : le chemin collectif de la mobilité durable","year":2019,"lang":"fr","type":"article","venue":"Gestion","topic":"Diverse multidisciplinary academic research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Summit; Political science; Anticipation (artificial intelligence); Art; Geography; Cartography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005116554,0.001164917,0.0007676296,0.00169034,0.009418967,0.01155638,0.001074878,0.004185178,0.02092497],"category_scores_gemma":[0.007517765,0.0006078812,0.0005737142,0.001729953,0.005370074,0.007574875,0.006804776,0.008954435,0.006527672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006228537,"about_ca_system_score_gemma":0.01164209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03164667,"about_ca_topic_score_gemma":0.05993329,"domain_scores_codex":[0.9953116,0.001666371,0.0001292824,0.0007314988,0.001407195,0.0007541353],"domain_scores_gemma":[0.9943996,0.001345437,0.000360117,0.0001498477,0.001150686,0.002594235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000200441,0.00009112548,0.004371277,0.0004483647,0.00004209243,0.0008318552,0.0296507,0.0002137634,0.001482047,0.06227188,0.8519027,0.04849365],"study_design_scores_gemma":[0.000008828728,0.00003132797,0.00209931,0.0002853159,0.000009793606,0.0002157283,0.01825333,0.00007308522,0.0005675217,0.004659592,0.973752,0.00004421232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02178916,0.04082054,0.004853908,0.8053356,0.02758635,0.000111505,0.0004904059,0.0002575474,0.09875488],"genre_scores_gemma":[0.1860546,0.04361105,0.005996792,0.1309589,0.007027621,0.0002533529,0.0004963655,0.0008354405,0.624766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03164667,"threshold_uncertainty_score":0.07000107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788195763418191,"score_gpt":0.3083458874774294,"score_spread":0.2904639298432475,"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."}}