{"id":"W4287214073","doi":"","title":"Optimisation des distances de ségrégation entre torons installés dans une structure","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer 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":[0.0007206674,0.001561225,0.0009267367,0.0009327462,0.0006493215,0.001636966,0.0007884991,0.001704787,0.005451754],"category_scores_gemma":[0.002014745,0.0006026125,0.0007025138,0.0004747737,0.0004678506,0.0008401373,0.000696856,0.0008210173,0.001187748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473241,"about_ca_system_score_gemma":0.0007430681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690388,"about_ca_topic_score_gemma":0.003665836,"domain_scores_codex":[0.9993467,0.00009572769,0.00002445438,0.0001924341,0.0002072259,0.0001335135],"domain_scores_gemma":[0.9984108,0.0008553487,0.0002344844,0.0001223239,0.000255387,0.0001215825],"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":[0.002312483,0.0004934993,0.002614192,0.0003830684,0.0001114548,0.000152579,0.0002045072,0.6754683,0.2479387,0.002001037,0.0005804963,0.06773975],"study_design_scores_gemma":[0.0001595814,0.00276735,0.008752516,0.00004606628,0.0001371758,0.0001227425,0.0003079719,0.6418592,0.3411343,0.0009584376,0.003692221,0.00006256978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032806,0.0006336988,0.08734317,0.0001358006,0.00007470967,0.00005314833,0.0001617268,0.0007155571,0.007601565],"genre_scores_gemma":[0.9706751,0.0001361325,0.02450666,0.00001153604,0.000007197627,0.00003144565,0.0001067387,0.0001077204,0.004417535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005451754,"threshold_uncertainty_score":0.01823801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636106620226489,"score_gpt":0.2448427062474143,"score_spread":0.2284816400451495,"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."}}