{"id":"W2015657065","doi":"10.1016/j.humpath.2009.04.012","title":"Primary frozen section diagnosis by robotic microscopy and virtual slide telepathology: the University Health Network experience","year":2009,"lang":"en","type":"article","venue":"Human Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Telepathology; Frozen section procedure; Medicine; Medical diagnosis; Medical laboratory; Nuclear medicine; Surgery; Pathology; Health care; Telemedicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000365557,0.0001509314,0.0002227501,0.00006235197,0.0008569998,0.00005000968,0.0005155829,0.000124234,0.000009508449],"category_scores_gemma":[0.00001164141,0.0001394251,0.00003750867,0.0002788033,0.0002713451,0.0002860747,0.0001934634,0.0002853967,0.000008255914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310888,"about_ca_system_score_gemma":0.00004993682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004452577,"about_ca_topic_score_gemma":0.00005142763,"domain_scores_codex":[0.9983485,0.0004185328,0.0001844374,0.0005462769,0.0001113684,0.000390833],"domain_scores_gemma":[0.9991776,0.00009366952,0.000156874,0.0004645749,0.0000288285,0.00007840146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002199804,0.0007285309,0.09014323,0.00006809682,0.00006730926,0.0008332002,0.05433442,0.004781872,0.1153179,0.03960249,0.3149118,0.3789912],"study_design_scores_gemma":[0.002212723,0.006882206,0.9111483,0.00009517735,0.00004459805,0.001796981,0.0009862455,0.002421035,0.004031702,0.009566689,0.05958744,0.00122694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7103873,0.001093799,0.2835336,0.003202236,0.0009803714,0.0002948573,0.000002847344,0.0002391982,0.0002658416],"genre_scores_gemma":[0.9876586,0.0004236209,0.006112421,0.005331496,0.0002273727,0.00001286669,0.000005660136,0.000008929791,0.0002190696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.821005,"threshold_uncertainty_score":0.6591436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183719084423476,"score_gpt":0.2506455627471174,"score_spread":0.2388083719028826,"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."}}