{"id":"W7006381411","doi":"","title":"Une heuristique Ã  grand voisinage pour un problÃ¨me de confection de tournÃ©e pour un seul vÃ©hicule avec cueillettes et livraisons et contrainte de chargement","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chisel; Reamer; Lode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001440002,0.001150183,0.0009160967,0.001151227,0.003117524,0.004139852,0.001835233,0.002590675,0.03363193],"category_scores_gemma":[0.002006012,0.000622272,0.001281975,0.001214909,0.001643754,0.002427192,0.002530024,0.002405345,0.009886728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924829,"about_ca_system_score_gemma":0.003262772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294771,"about_ca_topic_score_gemma":0.02156673,"domain_scores_codex":[0.9980674,0.00029483,0.0001162199,0.0003829757,0.0007433956,0.0003951546],"domain_scores_gemma":[0.9985582,0.0002266968,0.0001873043,0.0002178282,0.0005023816,0.0003076438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002197914,0.001166503,0.02487702,0.00318251,0.0001759754,0.007530038,0.01023396,0.0105292,0.3881404,0.04363714,0.02650749,0.4818218],"study_design_scores_gemma":[0.0001079169,0.002869402,0.02916893,0.001025417,0.0001679741,0.00523221,0.009912271,0.009833202,0.1296884,0.007562554,0.8040412,0.0003905088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5812131,0.01381997,0.1978854,0.009926793,0.004158937,0.001170237,0.0009221893,0.002172119,0.1887312],"genre_scores_gemma":[0.5327435,0.004922139,0.1616982,0.001694783,0.0003919759,0.0003945058,0.0009233207,0.0006045804,0.2966271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03363193,"threshold_uncertainty_score":0.11251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002816975365306348,"score_gpt":0.1631491191900589,"score_spread":0.1603321438247526,"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."}}