{"id":"W1964156194","doi":"10.6009/jjrt.67.1633","title":"Report on ISMRM2011 in Montreal","year":2011,"lang":"en","type":"article","venue":"Japanese Journal of Radiological Technology","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","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":[0.01088278,0.002495863,0.001504247,0.003156592,0.002985026,0.003993422,0.002722135,0.003411034,0.09039761],"category_scores_gemma":[0.00898683,0.0005054494,0.001771605,0.001882771,0.001292454,0.001309576,0.005407852,0.001914499,0.05436722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004487319,"about_ca_system_score_gemma":0.01338864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1063062,"about_ca_topic_score_gemma":0.1459492,"domain_scores_codex":[0.993711,0.001052799,0.0001751982,0.0007355958,0.002925759,0.001399683],"domain_scores_gemma":[0.9896592,0.0008448586,0.0002692826,0.000905651,0.004810762,0.003510167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009804819,0.0003151841,0.001943871,0.0001506651,0.000100838,0.0008224967,0.0001098935,0.001200097,0.003076652,0.001176625,0.9479306,0.04219254],"study_design_scores_gemma":[0.0002525539,0.0005404791,0.007441967,0.00007106065,0.0001070655,0.0001666372,0.0001372907,0.001104984,0.00580924,0.0008903823,0.9834346,0.00004377569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05228227,0.01508806,0.05771276,0.1567947,0.1393664,0.009211274,0.118366,0.01356722,0.4376113],"genre_scores_gemma":[0.07751197,0.003177168,0.01348455,0.01034603,0.02003939,0.001384494,0.0704584,0.002348037,0.80125],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8936937,"threshold_uncertainty_score":0.3024101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999965239150486,"score_gpt":0.2546821285669284,"score_spread":0.2246824761754235,"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."}}