{"id":"W4399069988","doi":"10.1007/s12312-024-01337-6","title":"Erklärbare Künstliche Intelligenz in der Pathologie","year":2024,"lang":"de","type":"article","venue":"Forum","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Pathology; Computer science; 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":[0.005839335,0.0004911689,0.0005976645,0.001419224,0.0008599143,0.007501913,0.0008858002,0.002007123,0.004780274],"category_scores_gemma":[0.02377852,0.0003739601,0.0005165602,0.0007226377,0.003765295,0.005987162,0.002940558,0.003124026,0.001680485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008069513,"about_ca_system_score_gemma":0.001100312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007829645,"about_ca_topic_score_gemma":0.0005444626,"domain_scores_codex":[0.9964674,0.001837852,0.000174433,0.0003976515,0.0009459367,0.0001768067],"domain_scores_gemma":[0.9899347,0.007268665,0.0003294,0.0008515685,0.001319315,0.0002963329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002548006,0.0002013262,0.003836512,0.0009720799,0.00008469923,0.000505691,0.003886223,0.008949184,0.01126286,0.4956783,0.01579739,0.458571],"study_design_scores_gemma":[0.00002183139,0.0001245284,0.00205372,0.0005211206,0.00007045754,0.0007534283,0.00167785,0.04441758,0.00821863,0.8576201,0.08446421,0.00005661433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05700805,0.03057605,0.7366502,0.08273943,0.00305885,0.0001645879,0.0005464255,0.001347128,0.08790936],"genre_scores_gemma":[0.765748,0.01446227,0.1882619,0.004473243,0.002378798,0.000160029,0.0004822745,0.0002377826,0.02379578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007501913,"threshold_uncertainty_score":0.0308817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856792922776958,"score_gpt":0.293967246587744,"score_spread":0.2653993173599745,"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."}}