{"id":"W3136808596","doi":"","title":"La performance de la logistique des circuits courts alimentaires : une typologie en mondes de distribution","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002333467,0.0003500397,0.0003750417,0.001934809,0.002645616,0.007234072,0.00118765,0.001432588,0.01781986],"category_scores_gemma":[0.009166274,0.0003098185,0.0004058743,0.002801989,0.003360558,0.005081121,0.00279881,0.0007638875,0.001348437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005421634,"about_ca_system_score_gemma":0.002707208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331129,"about_ca_topic_score_gemma":0.02156591,"domain_scores_codex":[0.9972273,0.0008111618,0.0001749227,0.0005071714,0.0008494094,0.0004301098],"domain_scores_gemma":[0.9946792,0.00177424,0.001256751,0.0006821503,0.001159539,0.0004481472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001334392,0.0002745537,0.3891328,0.001194898,0.0002214073,0.001806027,0.05366254,0.007575447,0.02582133,0.236867,0.007619299,0.2744902],"study_design_scores_gemma":[0.00008811283,0.0008094257,0.6005738,0.0007189424,0.0001823833,0.001794666,0.07801033,0.02187301,0.009789929,0.05405054,0.2318876,0.0002212399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.848865,0.002651404,0.02914078,0.0028219,0.00005972493,0.0002316167,0.0006635161,0.0002067826,0.1153593],"genre_scores_gemma":[0.9834706,0.0005230412,0.004559461,0.0000733918,0.00001566019,0.00006986417,0.0001277125,0.00003797703,0.01112216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02331129,"threshold_uncertainty_score":0.05961335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137830555907941,"score_gpt":0.2419823210733265,"score_spread":0.2281992654825324,"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."}}