{"id":"W7046101980","doi":"","title":"DÃ©veloppement d'un systÃ¨me de mesure en temps rÃ©el des erreurs dans les machines-outils Ã  axes multiples pour une compensatioin active","year":2005,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Scaling law; Time lag","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005909382,0.001018426,0.0006481842,0.0007828499,0.0006486906,0.001927644,0.001112513,0.0008942547,0.008867025],"category_scores_gemma":[0.001054119,0.000525392,0.0006422171,0.0003972761,0.000594421,0.001659887,0.0008869514,0.0009905305,0.001714063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008172421,"about_ca_system_score_gemma":0.0009480985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073972,"about_ca_topic_score_gemma":0.001564712,"domain_scores_codex":[0.9994013,0.00004680143,0.00003802879,0.0001793583,0.0002695989,0.00006493348],"domain_scores_gemma":[0.999083,0.0002283105,0.000161514,0.0001705606,0.0002917195,0.00006493404],"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":[0.0008473355,0.0001866493,0.001680822,0.0008423173,0.00008782402,0.0004114983,0.0008282356,0.04922483,0.5840018,0.02565653,0.002385926,0.3338462],"study_design_scores_gemma":[0.0001187789,0.001533678,0.005084768,0.0001807047,0.0001516356,0.0009654947,0.0003042153,0.1991968,0.6884434,0.007448253,0.09640595,0.0001663554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1112033,0.001674366,0.860002,0.0004560015,0.000716674,0.0001505957,0.0001732443,0.002776395,0.02284755],"genre_scores_gemma":[0.7432945,0.0009458556,0.2071271,0.0001749363,0.000159943,0.0002135613,0.0002419289,0.0004111394,0.0474311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008867025,"threshold_uncertainty_score":0.02966315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005560250161742918,"score_gpt":0.1899721844867357,"score_spread":0.1844119343249928,"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."}}