{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006013181,0.0001298873,0.0002348433,0.00001428934,0.0001458663,0.00001937922,0.0001945207,0.00005963433,0.001285776],"category_scores_gemma":[0.00003805946,0.00009779532,0.00002836611,0.00009015747,0.0007160186,0.0001237267,0.00006345173,0.0001344406,0.0000428013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002717974,"about_ca_system_score_gemma":0.000007421537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003182203,"about_ca_topic_score_gemma":0.0002110013,"domain_scores_codex":[0.9982414,0.0003089764,0.0004152658,0.0004345629,0.0003589466,0.0002408496],"domain_scores_gemma":[0.9993825,0.00008650495,0.00009763856,0.0003183417,0.00002020396,0.0000947884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002256275,0.01507672,0.5219526,0.0002459279,0.00006488044,0.000061555,0.01198457,0.0001728179,0.01317781,0.0009046723,0.004150576,0.4299516],"study_design_scores_gemma":[0.002131202,0.01059925,0.9599958,0.00001517664,0.00007338003,0.000004634889,0.003983277,0.01093068,0.001307967,0.00320593,0.007437381,0.0003152885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907146,0.00006504348,0.00507333,0.000153139,0.0000377642,0.001735014,0.00004705075,0.00003350886,0.002140547],"genre_scores_gemma":[0.995307,0.00001266121,0.004146154,0.00001924475,0.0000559213,0.0001784702,0.000006020215,0.00001159927,0.0002629464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4380432,"threshold_uncertainty_score":0.9996272,"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."}}