{"id":"W6989296349","doi":"","title":"Advances in calibration and tracking techniques for pixelated Si Timepix3 detectors","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Tracking (education); Tracking system; Pneumatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001628297,0.0003268603,0.0003165068,0.0002759192,0.002571299,0.00006835113,0.0001520031,0.0002588917,0.00001258192],"category_scores_gemma":[0.00001854442,0.0003930068,0.0001275014,0.0003613918,0.0001062822,0.0008070566,0.00005148739,0.0002705434,0.00001263072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122782,"about_ca_system_score_gemma":0.0005940786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004759295,"about_ca_topic_score_gemma":0.00541627,"domain_scores_codex":[0.9985107,0.00005597122,0.0003824866,0.0004447396,0.0002217413,0.0003843612],"domain_scores_gemma":[0.9992062,0.0001432905,0.0002705613,0.0001289215,0.0001164208,0.000134612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001890088,0.0002671885,0.4333697,0.0008551949,0.0003488713,0.000220898,0.06393492,0.004577158,0.1634138,0.01085071,0.00008976263,0.3201817],"study_design_scores_gemma":[0.003072645,0.0003674114,0.2593588,0.001888568,0.0004112253,0.00005377499,0.03309038,0.1111436,0.5391166,0.002007486,0.04751678,0.001972717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897411,0.006047586,0.001369361,0.00007872602,0.0006047533,0.0006378552,0.00006244674,0.000110759,0.001347452],"genre_scores_gemma":[0.9909727,0.0007833985,0.000651176,0.00001100806,0.0001603058,0.0001172174,0.0006001851,0.00003485192,0.006669174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757028,"threshold_uncertainty_score":0.9998522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006235038488548431,"score_gpt":0.1957687545546719,"score_spread":0.1895337160661235,"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."}}