{"id":"W2336972508","doi":"10.1159/000442390","title":"International Telepathology: Promises and Pitfalls","year":2016,"lang":"en","type":"review","venue":"Pathobiology","topic":"AI in cancer detection","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Telepathology; Workflow; Accreditation; Telemedicine; Business; Health care; Process management; Engineering management; Knowledge management; Computer science; Medicine; Engineering; Medical education; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003001093,0.0002620456,0.0007202272,0.0001987265,0.00005345726,0.00004329492,0.0009876268,0.0003914396,0.00004100181],"category_scores_gemma":[0.00009210464,0.0001748053,0.0001296424,0.0001122795,0.0001397939,0.0001417715,0.0006366,0.0002203729,0.0002302617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001137054,"about_ca_system_score_gemma":0.0001316226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000176651,"about_ca_topic_score_gemma":0.000001140085,"domain_scores_codex":[0.9983554,0.0002641233,0.000345571,0.0007110981,0.00006955582,0.0002542924],"domain_scores_gemma":[0.9988837,0.0002470886,0.0002905158,0.0004743609,0.00004925601,0.00005506782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.66397e-7,0.000006470622,0.000006499928,0.0002870793,0.00002703772,0.00001944347,0.0000166134,5.815338e-9,0.000007310477,0.002155848,0.0002690236,0.9972039],"study_design_scores_gemma":[0.00008712159,0.00007410852,0.000007022032,0.0008454965,0.00002350928,0.0007954562,4.496844e-7,0.000007362331,0.000003009249,0.001110413,0.9968349,0.0002112019],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001484301,0.9623974,0.03209626,0.0001547743,0.002642998,0.0003115583,0.00003141013,0.0001498193,0.002214301],"genre_scores_gemma":[0.0000049285,0.9932165,0.005743958,0.00006943647,0.0004175371,0.0001766741,0.00001048705,0.00001730979,0.0003431974],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9969927,"threshold_uncertainty_score":0.7128353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480831132619322,"score_gpt":0.330903347111961,"score_spread":0.2960950357857678,"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."}}