{"id":"W2612729160","doi":"10.3917/inno.pr1.0018","title":"Transport et logistique des circuits courts alimentaires de proximité : la diversité des trajectoires d’innovation","year":2017,"lang":"fr","type":"article","venue":"Innovations","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Political science; Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001180332,0.0002356971,0.0002608517,0.0001558869,0.005985147,0.0002927017,0.0004760468,0.0002793841,0.0001732549],"category_scores_gemma":[0.00069719,0.000266097,0.00009225377,0.0008814379,0.005178906,0.001069451,0.00006602069,0.0003056704,0.00001841974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006662901,"about_ca_system_score_gemma":0.0005684337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03040663,"about_ca_topic_score_gemma":0.02881506,"domain_scores_codex":[0.9981437,0.0002090506,0.0004142181,0.0003053379,0.0003744317,0.0005532998],"domain_scores_gemma":[0.9984095,0.0001511301,0.0003616939,0.000260265,0.0007411817,0.00007622354],"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":[0.000004217108,0.0002307131,0.08686516,0.0000591453,0.0001474764,0.00002571299,0.03771177,0.00001568634,0.0002663877,0.8192536,0.00467782,0.05074227],"study_design_scores_gemma":[0.000408956,0.00006465615,0.6404227,0.0002076287,0.0001011738,0.000004245256,0.004354818,0.00001685771,0.0002910014,0.2510746,0.1027088,0.0003445297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7213317,0.002834532,0.005682173,0.01756315,0.001033994,0.0004724837,0.0001758442,0.000148732,0.2507574],"genre_scores_gemma":[0.9836867,0.001235013,0.001048911,0.0004783213,0.0003874438,0.00005664445,0.00003564053,0.00002161516,0.01304971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.568179,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054503501179786,"score_gpt":0.3360453980210258,"score_spread":0.2305950479030473,"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."}}