{"id":"W7054935927","doi":"","title":"Analyse du réseau de logistique inverse basée sur les données massives","year":2022,"lang":"fr","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inverse temperature; Marine industry; Statistical analysis","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":[0.006700641,0.001474759,0.001745034,0.005036491,0.001385514,0.005111762,0.001843699,0.001611796,0.005554851],"category_scores_gemma":[0.03633138,0.0008706092,0.002103908,0.004609474,0.001301944,0.003180299,0.001398709,0.002044598,0.001222105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004014426,"about_ca_system_score_gemma":0.005401136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2280079,"about_ca_topic_score_gemma":0.184113,"domain_scores_codex":[0.9926529,0.001201611,0.0003185334,0.001181329,0.004136998,0.0005085385],"domain_scores_gemma":[0.9672958,0.02243289,0.001094789,0.001821663,0.007045627,0.0003092584],"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":[0.001087013,0.0003158339,0.04199021,0.00218825,0.0008400727,0.001538962,0.002106586,0.5349214,0.02878288,0.02018174,0.009380563,0.3566665],"study_design_scores_gemma":[0.00003525873,0.0001959056,0.02672041,0.0002319698,0.0001829498,0.0004310074,0.001606499,0.927616,0.01502962,0.01179949,0.01602871,0.0001222313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4461095,0.007840858,0.5057049,0.003763841,0.0002510575,0.0004680519,0.008265745,0.004452466,0.02314347],"genre_scores_gemma":[0.7629419,0.002223489,0.2119928,0.0003410312,0.00008469167,0.0002658888,0.008415939,0.0006157805,0.01311854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2280079,"threshold_uncertainty_score":0.4533615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272109048417581,"score_gpt":0.252237949000544,"score_spread":0.2195168585163682,"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."}}