{"id":"W4398840568","doi":"10.7910/dvn/udgofr/06l2d7","title":"Data_R_PSLE.tab","year":2020,"lang":"kn","type":"dataset","venue":"Harvard Dataverse","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001476863,0.003804456,0.002160102,0.004481768,0.000925757,0.003816406,0.004719906,0.003157743,0.2562503],"category_scores_gemma":[0.00944706,0.001226897,0.001675403,0.00534553,0.0007695466,0.002250093,0.002532623,0.002114005,0.2957581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842318,"about_ca_system_score_gemma":0.002313394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065153,"about_ca_topic_score_gemma":0.0176147,"domain_scores_codex":[0.9987123,0.0001966338,0.000122684,0.000438218,0.0002995684,0.0002306579],"domain_scores_gemma":[0.9968632,0.001129461,0.0002262671,0.0008949383,0.000554717,0.0003313886],"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":[0.00004837849,0.00002022507,0.0002320087,0.0004836482,0.00002240912,0.000009338517,0.000009641388,0.0001794186,0.00007707201,0.000257146,0.9965923,0.002068323],"study_design_scores_gemma":[0.0004572048,0.00004437868,0.001461705,0.0003093102,0.00004427093,0.00008576598,0.00004783375,0.001093023,0.001118595,0.002149772,0.9931397,0.00004846822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001123263,0.000108353,0.0001621876,0.00009351147,0.00003861644,0.00001818916,0.995437,0.002793704,0.001236147],"genre_scores_gemma":[0.0007830519,0.0001044078,0.0006298702,0.0001127853,0.0000247888,0.0001279482,0.996325,0.0006817578,0.001210416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7437497,"threshold_uncertainty_score":0.8572427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662999133641903,"score_gpt":0.2775897916260731,"score_spread":0.2609598002896541,"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."}}