{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103739,0.0001381749,0.0004700458,0.0008028198,0.00003521765,0.00001403099,0.001779288,0.0002173297,0.00005731626],"category_scores_gemma":[0.0008051586,0.00008652373,0.0001215084,0.0009958324,0.0001765674,0.0003266996,0.0002046294,0.0005009618,0.00005874094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005468106,"about_ca_system_score_gemma":0.00002446236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004100237,"about_ca_topic_score_gemma":0.00002108735,"domain_scores_codex":[0.9983157,0.0001118178,0.0007282567,0.0003065196,0.0002233215,0.00031442],"domain_scores_gemma":[0.9985303,0.0001119378,0.0004560044,0.0006903601,0.0001143415,0.00009709193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005192562,0.002233853,0.5748035,0.000007590526,0.0002676832,0.06992531,0.002303284,0.0002615091,0.01152063,0.1786935,0.001981795,0.157482],"study_design_scores_gemma":[0.001899663,0.004093721,0.7668551,0.00003965216,0.0000274437,0.04992897,0.0004926071,0.00224698,0.004987619,0.1675615,0.001392391,0.0004744176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817401,0.00005523238,0.01312153,0.001296251,0.0001341542,0.00005706355,2.387007e-7,0.00008628383,0.003509106],"genre_scores_gemma":[0.9745193,0.00002310769,0.02518377,0.0001943706,0.00003052328,0.000004152198,3.203695e-7,0.000003406882,0.00004111432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1920516,"threshold_uncertainty_score":0.3528335,"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."}}