{"id":"W2118046950","doi":"10.1051/meca/2011140","title":"Exploitation des études de capabilité dans le calcul statistique des tolérances géométriques de localisation","year":2011,"lang":"fr","type":"article","venue":"Mécanique & Industries","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Humanities; Physics; Philosophy","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":[0.0006062051,0.0003649231,0.0002959089,0.0001364945,0.0003789644,0.0001649478,0.0002211654,0.0004994159,0.0002488168],"category_scores_gemma":[0.000366212,0.0004225898,0.00006090511,0.0003327942,0.00069812,0.001114436,0.00003545083,0.0004208118,0.00000748401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009914873,"about_ca_system_score_gemma":0.0006169487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03867053,"about_ca_topic_score_gemma":0.01324004,"domain_scores_codex":[0.9981065,0.0002744103,0.0004760816,0.0003325376,0.0001755693,0.0006348939],"domain_scores_gemma":[0.9990517,0.0001377857,0.0001342173,0.000219581,0.0002485745,0.0002081326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000149186,0.0004342264,0.1033702,0.003666938,0.0002697094,0.0000717604,0.2238266,0.2747149,0.002798991,0.1827163,0.001418646,0.2065625],"study_design_scores_gemma":[0.0004831846,0.0003103274,0.08290564,0.0009898349,0.0001193617,0.00004240729,0.01374818,0.0158398,0.8102004,0.07079283,0.003683069,0.0008849512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4766521,0.001651441,0.5182796,0.0001739909,0.0001302288,0.0002307973,0.00004541537,0.0002584365,0.002578032],"genre_scores_gemma":[0.8909026,0.001492717,0.1060961,0.00004943026,0.0001538613,0.0001740158,0.0000415332,0.00007941361,0.00101037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8074014,"threshold_uncertainty_score":0.9998226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421017656948233,"score_gpt":0.2377850928907191,"score_spread":0.1956833271958958,"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."}}