{"id":"W2121286363","doi":"10.1016/s0820-5930(09)60214-0","title":"Magnetic Resonance Imaging Protocol Optimization for Detection of Endometriotic Lesions","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Medical Radiation Technology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Magnetic resonance imaging; Medicine; Nuclear magnetic resonance; Nuclear medicine; Radiology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007289341,0.00007626774,0.0002172146,0.001308371,0.0000832836,0.000004691582,0.0001626365,0.0002211677,0.000119975],"category_scores_gemma":[0.002896817,0.00007122542,0.00006978662,0.0008733661,0.0001861802,0.00005831452,0.000006908343,0.0002859723,7.028563e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002149584,"about_ca_system_score_gemma":0.0008798211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009071414,"about_ca_topic_score_gemma":0.0002971884,"domain_scores_codex":[0.9988129,0.00001032689,0.0005846751,0.0001066158,0.0002603452,0.0002251972],"domain_scores_gemma":[0.9986117,0.0001370166,0.0003242395,0.0001488484,0.0003929718,0.0003851716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005051762,0.00003460791,0.001281706,0.00002921347,0.000003051404,0.00002582676,0.000018513,0.0001457879,0.001335432,0.00322871,0.0002840577,0.9935626],"study_design_scores_gemma":[0.01151521,0.003386509,0.01130771,0.0009714463,0.0001990621,0.002798376,0.0006301565,0.04897151,0.168863,0.01103378,0.7399083,0.0004149932],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001455214,0.001003613,0.9833075,0.006042566,0.00007737616,0.007982523,0.000006009899,0.00003143813,0.00009377112],"genre_scores_gemma":[0.8666213,0.0001211359,0.1298787,0.0003801693,0.0002406548,0.002668598,0.000006608019,0.00003164314,0.00005120617],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9931476,"threshold_uncertainty_score":0.346797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106651926928084,"score_gpt":0.3258242753512305,"score_spread":0.3151590826584221,"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."}}