{"id":"W4394493786","doi":"10.6084/m9.figshare.20126087","title":"Hamilton_allData.csv","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008432427,0.003029725,0.00163627,0.003453722,0.001077085,0.002206174,0.003985734,0.002334997,0.07044515],"category_scores_gemma":[0.003932528,0.0008242017,0.001746156,0.005044117,0.0007719977,0.0009986178,0.002121519,0.001775249,0.1216858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826201,"about_ca_system_score_gemma":0.003366545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1418714,"about_ca_topic_score_gemma":0.2619278,"domain_scores_codex":[0.9990496,0.0001064384,0.00007217669,0.0002665285,0.0002865283,0.0002187423],"domain_scores_gemma":[0.9983311,0.0002749533,0.0001239194,0.0005307451,0.0005292318,0.0002100075],"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":[0.00003200353,0.0000171943,0.0004597752,0.0002034252,0.00001822175,0.00001070931,0.000009152907,0.0003158765,0.00004836935,0.0001903603,0.997175,0.001519937],"study_design_scores_gemma":[0.0002376237,0.00001910133,0.003359444,0.0001482627,0.00003133232,0.00004268614,0.00007194529,0.001278548,0.000538343,0.001152346,0.9930791,0.00004127465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001471119,0.00004289962,0.00005195257,0.00005579505,0.00002781484,0.00001055027,0.9983732,0.0006002132,0.0006904203],"genre_scores_gemma":[0.0004839076,0.00003623966,0.0002251775,0.00003191284,0.000006890857,0.00003953694,0.9982238,0.00008713921,0.0008654677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9295548,"threshold_uncertainty_score":0.2820912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815303264227607,"score_gpt":0.3171740707949411,"score_spread":0.2890210381526651,"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."}}