{"id":"W4401330485","doi":"10.3390/cancers16152761","title":"The Performance and Clinical Applicability of HER2 Digital Image Analysis in Breast Cancer: A Systematic Review","year":2024,"lang":"en","type":"review","venue":"Cancers","topic":"AI in cancer detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Faculty of Medicine and Health, University of Sydney; Al-Farabi Kazakh National University","keywords":"Computer science; Standardization; Reliability (semiconductor); Systematic review; Ground truth; Data mining; Information retrieval; Set (abstract data type); Machine learning; Medical physics; Data science; Artificial intelligence; MEDLINE; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01731942,0.001599884,0.007710945,0.01048779,0.0006862891,0.003961237,0.002617555,0.002324396,0.003272032],"category_scores_gemma":[0.1167809,0.001115645,0.008454733,0.0097277,0.001308614,0.003045425,0.001617678,0.001216832,0.0004164411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003508091,"about_ca_system_score_gemma":0.01097454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007707716,"about_ca_topic_score_gemma":0.0194919,"domain_scores_codex":[0.9860154,0.004994234,0.005367269,0.001043371,0.002342074,0.0002377184],"domain_scores_gemma":[0.8932988,0.09032054,0.00831797,0.001308378,0.006436515,0.0003177625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002042992,0.00001374289,0.001247923,0.9253623,0.007629969,0.00005213498,0.000191835,0.0001316743,0.0001139681,0.0002753554,0.001320905,0.06345593],"study_design_scores_gemma":[0.0001629936,0.0001985073,0.004603384,0.918878,0.05850526,0.0003443144,0.0002692741,0.0001735338,0.0002550878,0.0004139063,0.0161458,0.00004995061],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008120158,0.9980397,0.0002260854,0.0002187338,0.00008379748,0.0001690039,0.0002360091,0.00000742526,0.0002073343],"genre_scores_gemma":[0.01409131,0.9834013,0.001106168,0.0005114757,0.000122499,0.0004427059,0.0002435425,0.00001039568,0.00007057732],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01731942,"threshold_uncertainty_score":0.09159499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504732043145199,"score_gpt":0.3595287261739193,"score_spread":0.3344814057424673,"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."}}