{"id":"W4405144332","doi":"","title":"Identification viscoélastique des thermoplastiques par les réseaux de neurones pour des applications en thermoformage","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Computer science; Identification (biology); Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002326997,0.0003902672,0.0002942017,0.00016575,0.0006679587,0.000408696,0.0007874264,0.0002705143,0.0003886043],"category_scores_gemma":[0.0006444387,0.0004420117,0.0001395503,0.0005529764,0.0004758711,0.0008260087,0.0002204113,0.0004701607,0.0002152699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899464,"about_ca_system_score_gemma":0.0001868402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006328239,"about_ca_topic_score_gemma":0.0008103267,"domain_scores_codex":[0.9962054,0.001838614,0.0005700952,0.0005560008,0.0002596935,0.0005701586],"domain_scores_gemma":[0.9958618,0.001447358,0.0003096239,0.0009694103,0.001212747,0.0001991208],"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":[0.00003680223,0.0008729443,0.01471661,0.002299942,0.0001811708,0.000004786084,0.03550043,0.1122973,0.156736,0.2503934,0.0002939293,0.4266667],"study_design_scores_gemma":[0.0009361181,0.00000358623,0.03696824,0.002356805,0.0001565977,0.00006596072,0.001376256,0.5733199,0.3225377,0.04727943,0.01392497,0.001074528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2021296,0.004400986,0.7760649,0.002275639,0.0001347503,0.0004966654,0.00004443422,0.0004006745,0.01405237],"genre_scores_gemma":[0.8254232,0.005557648,0.1598949,0.0000365606,0.000055358,0.0001655115,0.0001421281,0.0001182009,0.008606473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6232936,"threshold_uncertainty_score":0.9998032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007103901866926333,"score_gpt":0.2237787591320443,"score_spread":0.216674857265118,"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."}}