{"id":"W61878324","doi":"","title":"Conception d'un préamplificateur de charges pour un scanner TEP/TDM sur technologie CMOS 0,18 [micro]m","year":2005,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Scanner; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003789967,0.0003590216,0.0002661161,0.0002738344,0.0002570319,0.0008196345,0.0008204394,0.0007092985,0.0037361],"category_scores_gemma":[0.001001985,0.000261944,0.0002920155,0.0002385692,0.0002994513,0.0007111782,0.0003524194,0.0005926803,0.0007778751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007953414,"about_ca_system_score_gemma":0.0008585132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252008,"about_ca_topic_score_gemma":0.001580792,"domain_scores_codex":[0.999696,0.0000287953,0.00001240846,0.00004865368,0.0001853396,0.00002890384],"domain_scores_gemma":[0.9996148,0.0001322304,0.00004524389,0.00003379439,0.0001547996,0.00001900505],"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":[0.0002561252,0.00004566633,0.001553726,0.0003850909,0.0000447846,0.0005518646,0.0004237091,0.0209629,0.8162035,0.02373091,0.00212999,0.1337118],"study_design_scores_gemma":[0.00008905362,0.001323576,0.004118089,0.00008793232,0.00009030527,0.001812246,0.0002414133,0.0910944,0.8018258,0.005118236,0.09410435,0.00009467269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09421168,0.000886965,0.8928878,0.0005965826,0.0002463109,0.0003124376,0.0002429566,0.001810865,0.008804374],"genre_scores_gemma":[0.319176,0.0004851485,0.6657507,0.0002712055,0.00004158682,0.0002119507,0.0001491078,0.0001726088,0.01374166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0037361,"threshold_uncertainty_score":0.01249856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109210257558768,"score_gpt":0.2079148104650466,"score_spread":0.1868227078894589,"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."}}