{"id":"W4394131720","doi":"10.6084/m9.figshare.14166965","title":"Supplementary Tables for Thyroid cancer.docx","year":2021,"lang":"en","type":"supplementary-materials","venue":"Figshare","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Thyroid cancer; Thyroid; Natural language processing; Internal medicine; Medicine","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":[0.003147804,0.001549035,0.001800569,0.004673311,0.001211336,0.002408297,0.002414578,0.001277613,0.921016],"category_scores_gemma":[0.04433563,0.001008516,0.00199505,0.005315742,0.0004077824,0.001653548,0.001389725,0.00156959,0.2769167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960647,"about_ca_system_score_gemma":0.003305177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400221,"about_ca_topic_score_gemma":0.0237088,"domain_scores_codex":[0.9981936,0.0003899693,0.0003954891,0.0004747167,0.0003116941,0.0002345742],"domain_scores_gemma":[0.9651982,0.02514258,0.001858442,0.002274361,0.00455032,0.0009760527],"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":[0.0002674977,0.00004112229,0.00124158,0.002833399,0.00008097874,0.00004616947,0.00003802581,0.0002342639,0.0000623161,0.0006109268,0.98529,0.009253726],"study_design_scores_gemma":[0.002818813,0.000166148,0.01946897,0.004725767,0.0003138859,0.0005993625,0.0002777079,0.0008536925,0.0004803354,0.01076372,0.9594147,0.0001169201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001524206,0.0001179496,0.0005058266,0.0001975263,0.0001691356,0.0001792135,0.99583,0.0005234586,0.002324459],"genre_scores_gemma":[0.0059209,0.000565187,0.005478367,0.001430679,0.0005270265,0.003012432,0.9497387,0.00233125,0.03099546],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.921016,"threshold_uncertainty_score":0.1126611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04337589248779955,"score_gpt":0.3274701303629979,"score_spread":0.2840942378751983,"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."}}