{"id":"W7075676379","doi":"","title":"Statistical classification strategy for proton magnetic resonance spectra of soft tissue sarcoma: an exploratory study with potential clinical utility","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proton magnetic resonance; Magnetic resonance imaging; Proton; Statistical analysis; Pattern recognition (psychology); Spectral line","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.04329742,0.001043572,0.002045073,0.003346076,0.001129257,0.002144492,0.00201661,0.001323965,0.004819444],"category_scores_gemma":[0.08793241,0.0002291514,0.002931365,0.00234195,0.0009607995,0.001561087,0.001039629,0.001280084,0.00074683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000908807,"about_ca_system_score_gemma":0.002451587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666517,"about_ca_topic_score_gemma":0.002414639,"domain_scores_codex":[0.9749265,0.01937339,0.001783741,0.001389771,0.002097731,0.0004288375],"domain_scores_gemma":[0.8633306,0.1194611,0.003683768,0.005914341,0.006328706,0.001281454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02241968,0.003268864,0.5564152,0.0007098444,0.006035772,0.000681477,0.0007493044,0.0120416,0.007375128,0.00346417,0.006665113,0.3801738],"study_design_scores_gemma":[0.002744684,0.02466972,0.4064379,0.0002482662,0.00682469,0.001918442,0.003450468,0.5224868,0.008116678,0.01704305,0.005669923,0.0003894906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355553,0.001017815,0.1557166,0.001176752,0.0004179473,0.001525208,0.002231052,0.0004346222,0.0019247],"genre_scores_gemma":[0.961332,0.0001580214,0.03429225,0.0002278327,0.0001572235,0.000946374,0.001624453,0.0001299252,0.001131928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04329742,"threshold_uncertainty_score":0.2289814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289075049043318,"score_gpt":0.3230937226359512,"score_spread":0.1941862177316194,"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."}}