{"id":"W7057258653","doi":"","title":"Imagerie multimodale (radiographie numérique, tomodensitométrie, résonance magnétique à 1,5 Tesla) pour l'évaluation des lésions d'ostéoarthrose","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical imaging; Computed tomography; Imaging technology; Ultrasound imaging","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":[0.001416222,0.001658437,0.0009739209,0.00387505,0.0007951167,0.001576582,0.0007645393,0.002215696,0.06954435],"category_scores_gemma":[0.002106239,0.0007252966,0.0007377308,0.001514659,0.000415311,0.001722376,0.000812227,0.001121699,0.01473441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006715955,"about_ca_system_score_gemma":0.001372074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009056574,"about_ca_topic_score_gemma":0.01220133,"domain_scores_codex":[0.9996772,0.00003111185,0.00003258203,0.00008043883,0.0001246644,0.00005408402],"domain_scores_gemma":[0.9993436,0.000142823,0.00005991096,0.0001022176,0.0002920004,0.00005943555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001383522,0.0002798567,0.009750649,0.002603457,0.0002450448,0.005923004,0.0005590799,0.0018028,0.502561,0.002211281,0.06418639,0.4084939],"study_design_scores_gemma":[0.0002090219,0.0005659044,0.1463938,0.0013514,0.0008045988,0.06834762,0.0008613956,0.01725005,0.2968365,0.003477914,0.4636132,0.0002885856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2504642,0.06181889,0.3980335,0.01224451,0.002179594,0.002928865,0.05386981,0.03009437,0.1883663],"genre_scores_gemma":[0.3323186,0.03518378,0.4090097,0.004427108,0.001524609,0.001092415,0.01647574,0.008750577,0.1912174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06954435,"threshold_uncertainty_score":0.232649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00527777428739515,"score_gpt":0.1734374110978252,"score_spread":0.16815963681043,"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."}}