{"id":"W6979840816","doi":"","title":"AmÃ©lioration des caractÃ©ristiques analogiques et du rendement de fabrication du capteur MAR","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Global Health and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fabrication; Process (computing); Limiting; Welding","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":[0.0009315104,0.0008737086,0.0004757314,0.001321987,0.001503561,0.001828729,0.0009959205,0.001342059,0.03691462],"category_scores_gemma":[0.001655935,0.0004401623,0.000576822,0.0005591532,0.0009676205,0.001002576,0.0008344686,0.001088244,0.006932113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002049411,"about_ca_system_score_gemma":0.001073877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005195043,"about_ca_topic_score_gemma":0.006983093,"domain_scores_codex":[0.9988689,0.00009397832,0.00002340488,0.0001351413,0.0007719171,0.0001065903],"domain_scores_gemma":[0.9991084,0.0002464005,0.00008069832,0.0001277335,0.0003740938,0.00006256584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001439542,0.0002469337,0.00225543,0.0009749107,0.00005063989,0.0008831067,0.0007906882,0.0092825,0.4882208,0.04511136,0.02813038,0.4226138],"study_design_scores_gemma":[0.00008913297,0.0009755893,0.01165832,0.00008983265,0.0000554046,0.002325744,0.0003605994,0.02428976,0.6341348,0.003753979,0.3221728,0.00009406313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3097026,0.01773689,0.0798509,0.002418721,0.004178545,0.0003000117,0.0006250086,0.00407366,0.5811136],"genre_scores_gemma":[0.5431101,0.002893083,0.0184346,0.0003227687,0.0004510504,0.0000869988,0.0002818352,0.000492019,0.4339274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03691462,"threshold_uncertainty_score":0.1234917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004006971389246299,"score_gpt":0.179521798759584,"score_spread":0.1755148273703377,"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."}}