{"id":"W6987733922","doi":"","title":"Ãtude des artefacts en tomodensitométrie par simulation Monte Carlo","year":2014,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Sulfinpyrazone; Filter (signal processing); Dysgeusia","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":[0.002172012,0.0006912378,0.0009425379,0.0009114901,0.000704828,0.002284674,0.001014513,0.001467138,0.004471688],"category_scores_gemma":[0.01122509,0.0007835448,0.001101484,0.001108431,0.0007676317,0.0009597185,0.0009122977,0.001043387,0.0009585479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757196,"about_ca_system_score_gemma":0.001570473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216301,"about_ca_topic_score_gemma":0.006480083,"domain_scores_codex":[0.998654,0.0005648055,0.00005225936,0.0001306986,0.0005254304,0.00007271114],"domain_scores_gemma":[0.9935454,0.004753592,0.000392545,0.0005115486,0.0007026506,0.00009425321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002585592,0.00005107298,0.00370961,0.0004148624,0.000177582,0.0004656541,0.0005029311,0.9055655,0.01143182,0.04008413,0.001637758,0.03570054],"study_design_scores_gemma":[0.00001982881,0.00003056426,0.0005405397,0.00003759052,0.00002927106,0.0001869993,0.00002012411,0.9815455,0.005803674,0.003377615,0.008378846,0.00002934177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04987799,0.001914439,0.9355844,0.000419591,0.0001740682,0.00013414,0.0002533204,0.002302123,0.00933993],"genre_scores_gemma":[0.639854,0.002333618,0.3402736,0.0002681449,0.00008650438,0.0004413737,0.0005164056,0.001438346,0.01478785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01216301,"threshold_uncertainty_score":0.02418441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003488423593149649,"score_gpt":0.1474530572018797,"score_spread":0.14396463360873,"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."}}