{"id":"W2141076087","doi":"10.5858/arpa.2013-0289-ed","title":"Canadian Licensure for the Use of Digital Pathology for Routine Diagnoses: One More Step Toward a New Era of Pathology Practice Without Borders","year":2013,"lang":"en","type":"editorial","venue":"Archives of Pathology & Laboratory Medicine","topic":"AI in cancer detection","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Digital pathology; Telepathology; Licensure; License; Certification; Agency (philosophy); Health care; Medicine; Medical diagnosis; Virtual microscopy; Pathology; Medical education; Medical physics; Computer science; Telemedicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02409278,0.0007393193,0.0009613233,0.002234812,0.02043662,0.01520406,0.004709747,0.0140624,0.03297298],"category_scores_gemma":[0.04558572,0.001218411,0.001548283,0.002726324,0.01438029,0.006578045,0.009834725,0.02009158,0.007629148],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07745327,"about_ca_system_score_gemma":0.3823393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9396602,"about_ca_topic_score_gemma":0.9701399,"domain_scores_codex":[0.9545539,0.003052331,0.001384705,0.003042517,0.03231825,0.005648316],"domain_scores_gemma":[0.8621076,0.008835088,0.003313242,0.006684837,0.07660806,0.04245118],"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":[0.00004234854,0.00008720779,0.003609528,0.0002364372,0.00001939977,0.0005601589,0.002350172,0.0001250869,0.0009575542,0.0439347,0.8742465,0.07383113],"study_design_scores_gemma":[0.00002362784,0.00003662955,0.005274435,0.0003160264,0.00001046785,0.0002065996,0.001271427,0.0001236094,0.000265398,0.003842818,0.9885456,0.0000833993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0042024,0.006410646,0.005148834,0.8557549,0.01006572,0.0001520661,0.0005803375,0.0006342352,0.1170509],"genre_scores_gemma":[0.0998614,0.0146316,0.0314081,0.5938286,0.003325982,0.0002084017,0.002208683,0.001118491,0.2534088],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9225467,"threshold_uncertainty_score":0.5619655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426397559408066,"score_gpt":0.3006861693586008,"score_spread":0.2764221937645201,"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."}}