{"id":"W7113364904","doi":"","title":"Développement d’un modèle d’optimisation pour les microcorridors de transport : le cas du parc Jean-Drapeau","year":2025,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memorialization; Rail transportation; Protection mechanism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008811732,0.00124209,0.001098547,0.000662544,0.001115181,0.003093224,0.001556944,0.002264561,0.007622386],"category_scores_gemma":[0.002174223,0.0007837315,0.001401512,0.001005442,0.001137926,0.001752132,0.001163237,0.002025213,0.001166464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003951749,"about_ca_system_score_gemma":0.005507359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1453793,"about_ca_topic_score_gemma":0.08061069,"domain_scores_codex":[0.9993823,0.0001047457,0.00001840298,0.0001300227,0.0002489988,0.0001156464],"domain_scores_gemma":[0.9992785,0.0002986636,0.00005350251,0.000050584,0.0002779142,0.00004091829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003704742,0.00002060144,0.0006706921,0.00008447321,0.00001298519,0.00007112788,0.00008293769,0.9717748,0.001382619,0.01539355,0.0009497118,0.009519443],"study_design_scores_gemma":[0.000007423,0.00002498534,0.0002284485,0.00001928112,0.000009124553,0.00001438333,0.00002888846,0.9917054,0.0009175492,0.002423132,0.004610081,0.00001118728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04622053,0.00146027,0.9109387,0.00155302,0.0002351766,0.0001954057,0.0005914042,0.001079744,0.03772571],"genre_scores_gemma":[0.7205988,0.002624629,0.2104015,0.000364592,0.0001105334,0.0006267358,0.0008829208,0.0006644974,0.06372589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8546208,"threshold_uncertainty_score":0.2890661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186208079492898,"score_gpt":0.1998042026801339,"score_spread":0.187942121885205,"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."}}