{"id":"W4383047655","doi":"","title":"Système d’entraînement de pour machine de fabrication additive par dépôt de fil fondu","year":2020,"lang":"fr","type":"other","venue":"HAL - CNAM","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Humanities; Materials science; Art","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":[0.000609037,0.0009562788,0.001261359,0.001056402,0.001235135,0.001610051,0.001152517,0.001291378,0.01514024],"category_scores_gemma":[0.0007834108,0.0006386294,0.0007358667,0.0003515306,0.0006033938,0.001272531,0.001256513,0.0006749189,0.00533778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009355248,"about_ca_system_score_gemma":0.0009123933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068406,"about_ca_topic_score_gemma":0.002051694,"domain_scores_codex":[0.9990593,0.00007375942,0.0000442129,0.0003333791,0.0003775544,0.000111896],"domain_scores_gemma":[0.9994391,0.0001410083,0.00006321038,0.0001352503,0.0001680253,0.00005346357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009671789,0.0002919175,0.001125214,0.0003808032,0.0000654523,0.0003672375,0.0003784822,0.004928648,0.8970739,0.003613961,0.003812134,0.08699509],"study_design_scores_gemma":[0.00007497292,0.0006262808,0.00174648,0.00002417204,0.00005414846,0.0003466977,0.00005589971,0.02937476,0.9325435,0.0003610191,0.03471839,0.00007379305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5939043,0.002746666,0.3552168,0.0005355976,0.001367325,0.0006360561,0.001447839,0.02076778,0.02337761],"genre_scores_gemma":[0.8189163,0.0005936864,0.1069157,0.000182269,0.0001489872,0.0003982271,0.001120161,0.0006130144,0.07111174],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01514024,"threshold_uncertainty_score":0.05064911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042527805141922,"score_gpt":0.2101881054880735,"score_spread":0.1997628274366543,"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."}}