{"id":"W7046768026","doi":"","title":"Diagnostic MRI value in case of podotrochlear syndrome in the horse","year":2012,"lang":"fr","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Value (mathematics); Medical screening; Ultrasonography","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":[0.0003687065,0.0003682411,0.0002085696,0.003689593,0.0004727476,0.0007777816,0.0004223514,0.001013916,0.002369119],"category_scores_gemma":[0.001874949,0.000248587,0.0001753795,0.0007066369,0.0008351615,0.0007129143,0.0003682384,0.0003887307,0.0004261201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008807191,"about_ca_system_score_gemma":0.0007678084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007866,"about_ca_topic_score_gemma":0.01441913,"domain_scores_codex":[0.9998509,0.00002225129,0.00002090479,0.00002428687,0.00003619893,0.0000454629],"domain_scores_gemma":[0.9995789,0.0001141317,0.0001089566,0.0000196706,0.00009631758,0.00008215851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005378156,0.0001215529,0.4647361,0.0008061365,0.00008195294,0.3949438,0.001200291,0.0007442068,0.07851287,0.0006045064,0.001596799,0.05611403],"study_design_scores_gemma":[0.00005895504,0.0004079465,0.526997,0.0005928116,0.0001776138,0.4464127,0.002238514,0.00355069,0.0124017,0.001006997,0.006095609,0.00005950719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982959,0.005289824,0.001053757,0.0009628023,0.00004739454,0.00007914809,0.0001959517,0.0000683287,0.009343743],"genre_scores_gemma":[0.9950197,0.002443093,0.001297973,0.0001376553,0.00006123966,0.000009769114,0.00009785903,0.000007538921,0.0009251549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007866,"threshold_uncertainty_score":0.02004004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547573852957289,"score_gpt":0.2750368184828219,"score_spread":0.259561079953249,"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."}}