{"id":"W2622400887","doi":"10.1016/b978-0-08-055294-1.00113-6","title":"Imaging and Diagnosis of Biological Markers","year":2011,"lang":"en","type":"book-chapter","venue":"Comprehensive Biomaterials","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Institute for Biodiagnostics; The King's University","funders":"","keywords":"Magnetic resonance imaging; Selection (genetic algorithm); Nuclear magnetic resonance; Medical physics; Computer science; Medicine; Radiology; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002590012,0.0008780198,0.0008074255,0.001219316,0.0002812331,0.001573371,0.0008516998,0.001177532,0.008878397],"category_scores_gemma":[0.0002807635,0.0004140295,0.000300939,0.0009629728,0.0008164576,0.001671222,0.0007372719,0.001372961,0.005489855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005040524,"about_ca_system_score_gemma":0.0003680738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003691621,"about_ca_topic_score_gemma":0.0009375464,"domain_scores_codex":[0.9998338,0.00001568297,0.000004743963,0.00003390524,0.00009854607,0.00001317737],"domain_scores_gemma":[0.9998866,0.00005988775,0.000007585817,0.00001085397,0.00002711887,0.000007763288],"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":[0.00008048603,0.00008446165,0.0001603602,0.0018982,0.00002881775,0.0004171829,0.000326603,0.001827034,0.169292,0.1052655,0.07100907,0.6496103],"study_design_scores_gemma":[0.000006461307,0.00005159459,0.0003540971,0.0003305871,0.00001973955,0.001665793,0.00007978106,0.001769716,0.04914022,0.02830611,0.9182448,0.00003107654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004893718,0.5077304,0.2044612,0.002306876,0.003083434,0.0001065566,0.0003237727,0.0009849591,0.2761091],"genre_scores_gemma":[0.0362528,0.2975425,0.1256996,0.002278931,0.001555645,0.0001696389,0.0005111555,0.0003574371,0.5356324],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008878397,"threshold_uncertainty_score":0.02970123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0735990447322521,"score_gpt":0.3129549436416211,"score_spread":0.239355898909369,"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."}}