{"id":"W641684670","doi":"10.71781/16790","title":"Caractérisation spatiale des événements dans les détecteurs PICASSO","year":2007,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Geography","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":[0.0008997181,0.0005791638,0.0005117725,0.004395417,0.0009075808,0.001830385,0.0007423586,0.0006048693,0.004337567],"category_scores_gemma":[0.003567801,0.0003070708,0.0003488968,0.002918788,0.0005103413,0.0006457575,0.0009007913,0.0003882811,0.001518921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694921,"about_ca_system_score_gemma":0.001428906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4502038,"about_ca_topic_score_gemma":0.4923669,"domain_scores_codex":[0.9993911,0.00005300001,0.00002524447,0.000190661,0.0001825219,0.0001575267],"domain_scores_gemma":[0.9982084,0.0004056809,0.0002275753,0.0000921262,0.0008895957,0.0001766792],"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":[0.0003887234,0.00003534121,0.8620051,0.0001686096,0.0001481769,0.0004692957,0.003549465,0.004296226,0.01716783,0.001523828,0.005909306,0.104338],"study_design_scores_gemma":[0.000008595581,0.00002840758,0.9651108,0.00005332938,0.00005575653,0.0002398951,0.002279445,0.009497561,0.004741034,0.0002543278,0.0177009,0.00002982773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681229,0.001397379,0.009728994,0.0002889018,0.00009929542,0.00005895247,0.005145747,0.0006453736,0.0145125],"genre_scores_gemma":[0.9757221,0.0003576798,0.008722006,0.00002703035,0.00003298158,0.0000482964,0.002671677,0.00009839187,0.01231977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4502038,"threshold_uncertainty_score":0.8951666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396893538045403,"score_gpt":0.2025366741740659,"score_spread":0.1885677387936118,"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."}}