{"id":"W4288024063","doi":"","title":"Panorama d’un geoweb des flux et réseaux","year":2019,"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":"Computer science; Panorama; Artificial intelligence","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":[0.00127883,0.0005005355,0.0003912486,0.007007009,0.002038564,0.007405302,0.0003633207,0.001333616,0.04684187],"category_scores_gemma":[0.003113439,0.0003697755,0.0003410067,0.009894551,0.002286269,0.007178316,0.002371173,0.001311485,0.006477498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002372223,"about_ca_system_score_gemma":0.001556195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.026095,"about_ca_topic_score_gemma":0.02520026,"domain_scores_codex":[0.999119,0.0002437441,0.00003231702,0.0001860592,0.0003130483,0.0001059373],"domain_scores_gemma":[0.9972698,0.001156454,0.0001739045,0.0004745094,0.0006008286,0.000324388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004245525,0.0000472649,0.008918365,0.0005969771,0.00004669625,0.0006526682,0.005794614,0.002994197,0.005474512,0.4777492,0.2517322,0.2455688],"study_design_scores_gemma":[0.00001258187,0.000008567346,0.008237353,0.0001431544,0.000007736785,0.000327043,0.001334305,0.00110671,0.000517483,0.01954322,0.9687448,0.00001717766],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1025035,0.02444534,0.1023326,0.04027958,0.006534222,0.0001672255,0.02564129,0.006833047,0.6912634],"genre_scores_gemma":[0.6708852,0.01478286,0.05356613,0.001992532,0.00497302,0.0002859788,0.01273315,0.002817079,0.237964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04684187,"threshold_uncertainty_score":0.1567016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829246780467698,"score_gpt":0.2507207148533403,"score_spread":0.2224282470486633,"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."}}