{"id":"W2954759534","doi":"","title":"Unwrapping Textile Fabric","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Textile; Computer science; Materials science; Composite material","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":[0.0002196906,0.0008677648,0.0003673871,0.0005949507,0.0003139458,0.0006678438,0.0003338394,0.0005608406,0.008983294],"category_scores_gemma":[0.0005919535,0.0003506787,0.0003753776,0.0005133969,0.0004148469,0.0008186011,0.0007747499,0.0006163447,0.002493375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821614,"about_ca_system_score_gemma":0.0001821202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002981187,"about_ca_topic_score_gemma":0.0005708298,"domain_scores_codex":[0.9997242,0.0000217586,0.00001083936,0.0000941453,0.0001180441,0.00003098468],"domain_scores_gemma":[0.999495,0.00009758733,0.00006700404,0.0002042063,0.0001109327,0.00002526242],"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":[0.0001819873,0.00004649131,0.0003417529,0.0002481905,0.00001540975,0.0002511571,0.0001323172,0.005063561,0.8819557,0.001380844,0.0009851183,0.1093974],"study_design_scores_gemma":[0.00001965333,0.0005186247,0.004478679,0.00005536757,0.00004388951,0.001199049,0.000224455,0.04447143,0.9167919,0.001974186,0.03017048,0.00005225286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5016957,0.0023735,0.4693365,0.0003378173,0.0007253169,0.0001135418,0.0002918495,0.002305487,0.02282028],"genre_scores_gemma":[0.7286046,0.001841147,0.2230876,0.0002136148,0.0001343948,0.00006066524,0.0004113409,0.0006232212,0.04502344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008983294,"threshold_uncertainty_score":0.03005207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599490150298087,"score_gpt":0.2584429450236556,"score_spread":0.2224480435206747,"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."}}