{"id":"W4394074439","doi":"10.6084/m9.figshare.19619655","title":"Images Meta Data","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":"University of Guelph","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":[0.001482398,0.003686341,0.002100321,0.00668274,0.001085837,0.003734308,0.004526349,0.002569515,0.1216522],"category_scores_gemma":[0.006417352,0.001200931,0.0021061,0.005048613,0.0006224704,0.001896727,0.003091489,0.002827184,0.1829485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956015,"about_ca_system_score_gemma":0.002562258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007977165,"about_ca_topic_score_gemma":0.01851216,"domain_scores_codex":[0.9984186,0.0001703685,0.0002050148,0.0005793044,0.0003928594,0.0002337467],"domain_scores_gemma":[0.9971607,0.0006824207,0.0002877913,0.0008849374,0.0006442826,0.0003399226],"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":[0.0001841941,0.00005779547,0.00096472,0.001668223,0.00006168775,0.00004862617,0.00004168973,0.0002669277,0.0008974861,0.0007643141,0.9888108,0.00623346],"study_design_scores_gemma":[0.0001852438,0.0000372387,0.00277334,0.0003566011,0.00007822763,0.0001710034,0.00007087046,0.0004583744,0.002143333,0.001763189,0.9919116,0.00005116373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001298459,0.00009394158,0.0001826885,0.00005718046,0.00003070554,0.00002766987,0.9972708,0.001294526,0.0009126713],"genre_scores_gemma":[0.0003855027,0.00006737276,0.0007718508,0.0000713718,0.000008741856,0.0001608597,0.9975489,0.0002664476,0.0007189861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8783478,"threshold_uncertainty_score":0.4069671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081198777262551,"score_gpt":0.3703712815465138,"score_spread":0.2622514038202586,"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."}}