{"id":"W4393891033","doi":"10.5281/zenodo.3601415","title":"UHNBreast PSet","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","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":[0.001451591,0.001800118,0.002006415,0.003806038,0.0007832562,0.003777562,0.003120502,0.002332039,0.333772],"category_scores_gemma":[0.01057638,0.0008347891,0.001580001,0.007331033,0.0004394618,0.002095181,0.002677395,0.001648551,0.3535868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171981,"about_ca_system_score_gemma":0.003023731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275357,"about_ca_topic_score_gemma":0.02058048,"domain_scores_codex":[0.9987513,0.0002472157,0.0001390967,0.0003987563,0.0002900696,0.000173659],"domain_scores_gemma":[0.9967933,0.0009305491,0.000306405,0.0007798993,0.0007501931,0.0004396363],"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":[0.00007403725,0.000005908083,0.0001353134,0.00043585,0.00001961917,0.000007292038,0.000005897624,0.00006217176,0.0000428239,0.0003312637,0.9969798,0.001899915],"study_design_scores_gemma":[0.0002985579,0.00002191418,0.001253637,0.0002966687,0.00003462759,0.00006057259,0.00001631829,0.0001695549,0.000193625,0.001444386,0.9961907,0.00001952908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004457629,0.0001492109,0.00007092468,0.0001211021,0.00002993664,0.00001257611,0.9968989,0.0007168326,0.001955977],"genre_scores_gemma":[0.0003391153,0.0001875233,0.0002553372,0.0001961384,0.00002022797,0.00008495858,0.9969022,0.0003525898,0.001661935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.333772,"threshold_uncertainty_score":0.9502934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09038791663872711,"score_gpt":0.3362385807389999,"score_spread":0.2458506641002728,"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."}}