{"id":"W2940900531","doi":"10.1038/s41746-019-0106-0","title":"Physician perspectives on integration of artificial intelligence into diagnostic pathology","year":2019,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"AI in cancer detection","field":"Computer Science","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"Brain Tumour Research; Brain Tumour Foundation of Canada; Conquer Cancer Foundation","keywords":"Workflow; Cohort; Workload; Enthusiasm; Psychology; Health care; Medicine; Medical laboratory; Medical education; Pathology; Family medicine; Computer science; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.012469,0.0001653042,0.0001815188,0.001194041,0.002384361,0.004613545,0.0004805115,0.001710214,0.003000676],"category_scores_gemma":[0.03303332,0.0003300546,0.0003503589,0.0009405517,0.003339139,0.001827389,0.002254286,0.001833708,0.0005023662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203943,"about_ca_system_score_gemma":0.002537614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350686,"about_ca_topic_score_gemma":0.003097242,"domain_scores_codex":[0.9859381,0.01068845,0.0004749278,0.0003394976,0.001733152,0.0008258543],"domain_scores_gemma":[0.9517938,0.03266235,0.006191709,0.0006709352,0.004070408,0.004610947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004285783,0.0002882699,0.3231756,0.001076917,0.00009568985,0.007876385,0.5092326,0.0008268786,0.007368803,0.01340831,0.01141305,0.1248088],"study_design_scores_gemma":[0.00005619017,0.001061334,0.1471375,0.001472204,0.00008783727,0.01123104,0.6871008,0.00122525,0.002428119,0.005282567,0.1427994,0.0001176725],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9068611,0.004137491,0.002742349,0.05516654,0.0002304301,0.00004523785,0.0000797938,0.00002903653,0.03070794],"genre_scores_gemma":[0.9895203,0.002711807,0.00107979,0.005181776,0.0001781265,0.0000140121,0.00002730401,0.000009084344,0.001277885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.012469,"threshold_uncertainty_score":0.06594318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716213315268671,"score_gpt":0.2769775079159695,"score_spread":0.2598153747632828,"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."}}