{"id":"W4397024240","doi":"10.1016/j.jpi.2024.100383","title":"Eye tracking in digital pathology: A comprehensive literature review","year":2024,"lang":"en","type":"article","venue":"Journal of Pathology Informatics","topic":"AI in cancer detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Ontario Institute for Cancer Research","keywords":"Digital pathology; Computer science; Information retrieval; Pathology; Data science; Medicine; Artificial intelligence","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":[0.0033827,0.0009895778,0.002615027,0.01280147,0.0006703726,0.002312652,0.0015481,0.001707018,0.005273049],"category_scores_gemma":[0.0153625,0.000604082,0.002772724,0.01165139,0.0009359386,0.00293667,0.001364177,0.001057664,0.0007317177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692604,"about_ca_system_score_gemma":0.006348846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005055813,"about_ca_topic_score_gemma":0.009328872,"domain_scores_codex":[0.9977869,0.0005254616,0.0008432289,0.0002361219,0.0005252826,0.00008301285],"domain_scores_gemma":[0.9776084,0.01848052,0.001902937,0.0002254015,0.001609717,0.0001729272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001301556,0.00004971083,0.001205094,0.5579602,0.0009339392,0.0004263826,0.0006104774,0.0001772774,0.000322903,0.001166694,0.009744262,0.4272729],"study_design_scores_gemma":[0.00004811042,0.0002062282,0.009866521,0.7696006,0.007686532,0.003692633,0.001129227,0.0001569247,0.0004061848,0.001551224,0.2055757,0.00008009969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002596204,0.9990655,0.00006758905,0.000176598,0.0000577902,0.00001653547,0.00006344767,0.000003307751,0.0002895822],"genre_scores_gemma":[0.002262639,0.9970765,0.0002256386,0.0001976703,0.00006617264,0.00003476398,0.00006311643,0.000002205586,0.00007128787],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01280147,"threshold_uncertainty_score":0.01788962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559855707016024,"score_gpt":0.3050227086437557,"score_spread":0.2894241515735955,"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."}}