{"id":"W4406454733","doi":"10.54932/fjrk1446","title":"Encadrer les livraisons à domicile pour réduire les impacts négatifs du commerce de détail électronique dans les villes","year":2025,"lang":"fr","type":"report","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0007593943,0.001654809,0.001772407,0.0004504008,0.0007737465,0.0002182197,0.001008787,0.002319812,0.003142092],"category_scores_gemma":[0.0003611572,0.001605121,0.0009551799,0.0004654168,0.0006402521,0.0001864086,0.0001519014,0.002599736,0.0001009626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002578171,"about_ca_system_score_gemma":0.002335715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05442384,"about_ca_topic_score_gemma":0.05043392,"domain_scores_codex":[0.9946085,0.000232516,0.001626908,0.00100022,0.0006486651,0.001883146],"domain_scores_gemma":[0.9965867,0.0009670624,0.0003421186,0.00107985,0.0004282394,0.0005960363],"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":[0.0001889949,0.001819626,0.2661545,0.01262347,0.005978859,0.002031303,0.009135058,0.0384472,0.0250162,0.2078027,0.3439283,0.0868739],"study_design_scores_gemma":[0.001244035,0.0002324388,0.03934335,0.003148502,0.001938012,0.0005467955,0.00229429,0.01366988,0.01209262,0.00112439,0.9213122,0.003053441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01979579,0.02284668,0.3718406,0.00182752,0.001259578,0.0008761604,0.001284797,0.001204812,0.5790641],"genre_scores_gemma":[0.6841766,0.06810242,0.02003449,0.0002173351,0.00185246,0.0001559576,0.001568254,0.0004896986,0.2234028],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6643808,"threshold_uncertainty_score":0.9997013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952240100604568,"score_gpt":0.2481435465128965,"score_spread":0.2086211455068508,"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."}}