{"id":"W7061077323","doi":"","title":"Optimisation du réseau de logistique inverse chez Hydro-Québec","year":2005,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stability (learning theory); Constraint (computer-aided design); Inverse; Selection (genetic algorithm); Measure (data warehouse)","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":[0.0007626404,0.001268689,0.0007709074,0.0009304454,0.00111424,0.001570143,0.0008108914,0.001459517,0.01278397],"category_scores_gemma":[0.002437809,0.0005324549,0.0006981109,0.0007821811,0.0007718505,0.0005590237,0.0003289178,0.001038579,0.001298495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0068749,"about_ca_system_score_gemma":0.00730161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8352488,"about_ca_topic_score_gemma":0.8474057,"domain_scores_codex":[0.9996336,0.00007850448,0.000008175495,0.0000661004,0.0001400892,0.00007346609],"domain_scores_gemma":[0.9990593,0.0005109528,0.00003813041,0.00004027074,0.0003001,0.0000513296],"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":[0.0002879743,0.00008305698,0.003624495,0.000132616,0.00008110805,0.0002113558,0.0001029822,0.934521,0.006545913,0.004177432,0.007259422,0.04297264],"study_design_scores_gemma":[0.00008327801,0.00005931247,0.006173833,0.00002292853,0.00002232189,0.0000276056,0.0001253352,0.9823515,0.00385557,0.0005991893,0.006650938,0.00002815165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6439463,0.00232201,0.2227482,0.002190244,0.0004899665,0.0003240284,0.00571672,0.003487911,0.1187746],"genre_scores_gemma":[0.8147606,0.0004295458,0.1090644,0.0002293606,0.00005536348,0.0001634471,0.002012493,0.000746192,0.07253861],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8352488,"threshold_uncertainty_score":0.3314428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008848041312590193,"score_gpt":0.2308363115506631,"score_spread":0.2219882702380729,"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."}}