{"id":"W3134040280","doi":"10.17160/josha.8.1.739","title":"Künstliche Intelligenz in der Krebsforschung und Biomedizin - Artificial Intelligence in Cancer Research and Biomedicine","year":2021,"lang":"de","type":"article","venue":"Journal of Science Humanities and Arts - JOSHA","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Biomedicine; Biology","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":[0.01084378,0.000504267,0.0009432656,0.00269546,0.001601757,0.01009491,0.000909698,0.003426059,0.003768662],"category_scores_gemma":[0.01096387,0.0003930242,0.000623845,0.002132062,0.01460002,0.01023608,0.003622949,0.004686723,0.001321626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0029443,"about_ca_system_score_gemma":0.00411155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002384599,"about_ca_topic_score_gemma":0.001719995,"domain_scores_codex":[0.9949434,0.003078437,0.0003484061,0.0004065046,0.001002929,0.00022033],"domain_scores_gemma":[0.9925916,0.005272137,0.0004680956,0.0007235329,0.0006314077,0.0003132257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002982272,0.00004314009,0.001469901,0.0005179264,0.00003423494,0.0001896773,0.002451355,0.001767126,0.000472234,0.8901891,0.0147885,0.08804704],"study_design_scores_gemma":[0.000008349081,0.00002136749,0.001061806,0.0007139496,0.00001426239,0.0002959203,0.001230898,0.001729682,0.0003169162,0.8869885,0.1075875,0.0000307291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0185406,0.2627715,0.1664906,0.3611609,0.0052099,0.0001537701,0.0003466421,0.0003425161,0.1849835],"genre_scores_gemma":[0.6209747,0.1991991,0.09904265,0.02377633,0.007846913,0.0003516729,0.0003925867,0.0001859438,0.04823013],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01084378,"threshold_uncertainty_score":0.05734807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538056301610815,"score_gpt":0.4365289047809509,"score_spread":0.2827232746198693,"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."}}