{"id":"W4394499756","doi":"10.6084/m9.figshare.23676918","title":"IG_dataset_2023.dta","year":2023,"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":"Business; Environmental science; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00138792,0.002356476,0.001543066,0.003097739,0.001090148,0.002522575,0.003156777,0.003089967,0.06787781],"category_scores_gemma":[0.006039602,0.0006482039,0.001756431,0.005401353,0.0006735284,0.001317683,0.002095717,0.002466365,0.08289883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393758,"about_ca_system_score_gemma":0.002495126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03557881,"about_ca_topic_score_gemma":0.07787351,"domain_scores_codex":[0.9985816,0.0003130494,0.0001538557,0.0004063574,0.0003130345,0.000232039],"domain_scores_gemma":[0.9974641,0.0008179062,0.0002299203,0.0005507166,0.000649976,0.0002873771],"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":[0.00004690364,0.00003134284,0.0006510845,0.0003446494,0.00002167153,0.00001680504,0.00001776476,0.0002957523,0.00006052707,0.0003147089,0.9963861,0.001812616],"study_design_scores_gemma":[0.0004569305,0.00004701879,0.00803737,0.0002991658,0.00004476486,0.0001218348,0.000157569,0.001464891,0.0003523149,0.001852237,0.9871164,0.00004960376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001856297,0.00006356688,0.00006915944,0.0001097382,0.00003425757,0.00001244786,0.9986371,0.0002822253,0.0006058406],"genre_scores_gemma":[0.0004808781,0.00003740223,0.0002609258,0.00007043079,0.00001157507,0.00006700612,0.9984113,0.00003511896,0.0006253519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06787781,"threshold_uncertainty_score":0.2270738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04579399988536421,"score_gpt":0.3455297374553374,"score_spread":0.2997357375699732,"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."}}