{"id":"W7014653071","doi":"","title":"Recherche tabou pour un problème de tournées de véhicules avec une flotte privée et un transporteur externe","year":2012,"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":"Filter (signal processing); Context (archaeology); Perspective (graphical); Sequence (biology)","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":[0.002758429,0.001981702,0.001252229,0.002084842,0.00494208,0.006437562,0.001606306,0.003652105,0.094225],"category_scores_gemma":[0.01035446,0.0008526861,0.003187825,0.001422774,0.001623246,0.003046388,0.001246869,0.002356278,0.02148829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006468841,"about_ca_system_score_gemma":0.008462483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1944918,"about_ca_topic_score_gemma":0.1553422,"domain_scores_codex":[0.9966653,0.0006623287,0.000115913,0.0006442552,0.001583395,0.0003287253],"domain_scores_gemma":[0.9953768,0.00180643,0.0002070487,0.0004691952,0.001593124,0.0005473511],"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":[0.008122418,0.002785043,0.02851721,0.001656531,0.0005224993,0.006385472,0.008488161,0.02763146,0.1141464,0.1220515,0.1617867,0.5179067],"study_design_scores_gemma":[0.00126203,0.002550615,0.05472257,0.0007692981,0.0002797268,0.002961077,0.01114948,0.05364173,0.08182405,0.009649524,0.7807682,0.0004216334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4828141,0.005466247,0.1120023,0.007637472,0.005472662,0.001258223,0.008772884,0.00821612,0.36836],"genre_scores_gemma":[0.2436673,0.002242486,0.05325856,0.0005591614,0.0003507883,0.0004389115,0.006677412,0.001354944,0.6914505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1944918,"threshold_uncertainty_score":0.3867193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184841405996882,"score_gpt":0.182637506623877,"score_spread":0.1707890925639082,"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."}}