{"id":"W598020422","doi":"10.71781/3428","title":"Imagerie par résonance magnétique de l'ostéoarthrose métacarpo-phalangienne équine : évaluation des paramètres non-cartilagineux","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quine; Physics; Philosophy; Nuclear medicine; Medicine","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":[0.0005080621,0.0005714173,0.0002828319,0.001112346,0.0003541628,0.0003757657,0.0003607582,0.001238729,0.003569411],"category_scores_gemma":[0.0009529591,0.0003063538,0.0001668231,0.000260973,0.0005119906,0.0003559522,0.0001970719,0.0004374566,0.0005419398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003780376,"about_ca_system_score_gemma":0.0005159456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571572,"about_ca_topic_score_gemma":0.01530618,"domain_scores_codex":[0.9998915,0.00001529637,0.00000935329,0.00003055202,0.00002856342,0.00002475657],"domain_scores_gemma":[0.9997837,0.00009832044,0.00002651925,0.00001165438,0.00006016051,0.00001954112],"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":[0.001808266,0.0002489656,0.02235529,0.0009533449,0.0001813654,0.02795673,0.001108933,0.001524528,0.8738917,0.0006076316,0.001303547,0.06805969],"study_design_scores_gemma":[0.0004460345,0.002523724,0.6397592,0.0003082998,0.0005375577,0.1336357,0.001555128,0.00827545,0.191304,0.0009372884,0.02060625,0.0001113315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712777,0.005560771,0.01250155,0.001126762,0.00008039897,0.0002493934,0.0005602474,0.0001477138,0.0084955],"genre_scores_gemma":[0.9817539,0.003035518,0.008476861,0.000268874,0.000109156,0.00007210473,0.0002220999,0.00004035862,0.006021176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571572,"threshold_uncertainty_score":0.03124851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09480643658868092,"score_gpt":0.3876671023080872,"score_spread":0.2928606657194063,"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."}}