{"id":"W7135349189","doi":"","title":"Contrôle qualité et détection de défauts pour les systèmes de triage industriel par l’utilisation de deep learning","year":2023,"lang":"fr","type":"dissertation","venue":"Dépôt Institutionnel de lUniversité de Tlemcen","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Francophone University Association","funders":"","keywords":"Deep learning; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439404,0.00147551,0.001005967,0.001035171,0.0005967018,0.002098801,0.001120807,0.001271351,0.003942165],"category_scores_gemma":[0.003495505,0.0007196838,0.0008995458,0.0006576778,0.0006445828,0.001814213,0.000878316,0.001472002,0.0013634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513381,"about_ca_system_score_gemma":0.001235606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265548,"about_ca_topic_score_gemma":0.01641809,"domain_scores_codex":[0.9990003,0.00009324768,0.0000491213,0.0003160991,0.0004036966,0.0001375813],"domain_scores_gemma":[0.9983928,0.0005819247,0.0001894862,0.0001838135,0.0005737101,0.00007836705],"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":[0.001231836,0.0003247377,0.02058238,0.0008790402,0.0002236035,0.0003316897,0.000742503,0.1636314,0.2197539,0.003605357,0.005448736,0.5832447],"study_design_scores_gemma":[0.00003224439,0.0003744328,0.01378787,0.00007090685,0.00007125358,0.0001239248,0.0001636169,0.8796187,0.09682486,0.0020815,0.006782366,0.00006832038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1808429,0.001799072,0.8018258,0.0005370688,0.000314191,0.0001561709,0.00056245,0.008245043,0.005717294],"genre_scores_gemma":[0.7541646,0.001051326,0.2318278,0.0002339475,0.00007372333,0.0002545344,0.0007872016,0.0005300426,0.01107683],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01265548,"threshold_uncertainty_score":0.02516359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388085200605826,"score_gpt":0.2569408854277138,"score_spread":0.2330600334216555,"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."}}