{"id":"W2292016806","doi":"","title":"Conception et implémentation d'un convertisseur temps numérique dans un ASIC en technologie CMOS 0,18 ?m, appliqué à la tomographie d'émission par positrons","year":2012,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; CMOS; Materials science; Optoelectronics","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":[0.001074317,0.0007789336,0.0004592527,0.0009090239,0.0004011042,0.002441797,0.001789408,0.0008362039,0.007157528],"category_scores_gemma":[0.001976653,0.0003926249,0.0003772898,0.0005662957,0.0004127743,0.001249619,0.0004615143,0.0006435043,0.002243038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009454029,"about_ca_system_score_gemma":0.001190595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002148045,"about_ca_topic_score_gemma":0.002302272,"domain_scores_codex":[0.9990351,0.00009598779,0.0000785411,0.0001936261,0.0005197093,0.00007704322],"domain_scores_gemma":[0.9990688,0.0001940563,0.00009839267,0.0001424455,0.0004626432,0.00003370254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008210158,0.0002508637,0.003533357,0.00123689,0.0001260179,0.0006118283,0.0008671878,0.03806255,0.3956532,0.02480717,0.01027555,0.5237544],"study_design_scores_gemma":[0.00013899,0.0008797138,0.002156611,0.000178441,0.0001640769,0.0008343324,0.0001886192,0.1794756,0.6278868,0.003153217,0.1848187,0.000124818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04491723,0.001219324,0.9255421,0.0004182005,0.0007495664,0.0005257141,0.0004394487,0.01002963,0.01615871],"genre_scores_gemma":[0.2840661,0.0008749241,0.6899588,0.0004361665,0.0001147116,0.0005540837,0.0006032832,0.000817914,0.02257404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007157528,"threshold_uncertainty_score":0.02394432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474682818401816,"score_gpt":0.2601238178533021,"score_spread":0.245376989669284,"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."}}