{"id":"W4285694873","doi":"","title":"MODEL ADAPTIVITY DRIVEN BY MODEL ERROR, APPLICATION FOR 3D WOVEN COMPOSITES","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Composite material; Computer science; Materials science","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":[0.001146982,0.0007839403,0.001055456,0.0004029659,0.0003666226,0.001051368,0.0008037665,0.001425681,0.002033615],"category_scores_gemma":[0.004005103,0.0006913877,0.0009041405,0.0003878059,0.0008799537,0.0008112187,0.001914451,0.001411706,0.0003758621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000440344,"about_ca_system_score_gemma":0.0005609569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003532101,"about_ca_topic_score_gemma":0.002396825,"domain_scores_codex":[0.9995865,0.0001086995,0.00002382732,0.00008970065,0.0001573989,0.00003388276],"domain_scores_gemma":[0.9983001,0.0009108754,0.0001589663,0.0003120986,0.0002487214,0.0000692084],"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":[0.0001678953,0.00006246916,0.0004661161,0.00007694463,0.00003409078,0.0001281165,0.00009337412,0.9480768,0.02117768,0.00229071,0.0003728669,0.02705297],"study_design_scores_gemma":[0.000003403542,0.000008972041,0.00005926892,0.00000199367,0.000002531378,0.000008158773,0.000003706361,0.9976992,0.001656885,0.0004183912,0.000134146,0.000003329852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05716683,0.0001403804,0.9386889,0.0001533707,0.00008400913,0.00003508821,0.00005523948,0.002074438,0.001601582],"genre_scores_gemma":[0.8718008,0.0001703489,0.1231652,0.00007357144,0.00004129598,0.00009679762,0.0001409535,0.0008081688,0.003702831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003532101,"threshold_uncertainty_score":0.007023096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810201883438758,"score_gpt":0.2283743948988029,"score_spread":0.2102723760644153,"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."}}