{"id":"W3153404381","doi":"10.1038/s41379-021-00756-3","title":"Abstracts from USCAP 2021: Education (271-295)","year":2021,"lang":"en","type":"article","venue":"Modern Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121606,0.0001089989,0.00013778,0.00005732098,0.00008033984,0.00007415005,0.0003667952,0.000135494,0.0001336763],"category_scores_gemma":[0.0000549683,0.0001229432,0.00004807207,0.0001772326,0.00003223826,0.0002940308,0.0001881662,0.0001780002,0.0003464514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000984517,"about_ca_system_score_gemma":0.0003691943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009127279,"about_ca_topic_score_gemma":0.0001106101,"domain_scores_codex":[0.9987491,0.0001095914,0.0002008228,0.000569072,0.000149239,0.0002222218],"domain_scores_gemma":[0.9988899,0.00006358309,0.00009283276,0.0007649101,0.0001218852,0.00006694787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007207212,0.0002053485,0.0008018719,0.00000937935,0.0000173192,0.0002577222,0.002050437,0.001015245,0.09828373,0.003390381,0.003449831,0.8905115],"study_design_scores_gemma":[0.001066015,0.0001975902,0.1410397,0.00007106242,0.00004689286,0.0009597181,0.0002192153,0.08565062,0.2057199,0.4965888,0.06738979,0.001050661],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3108603,0.001031825,0.6743595,0.002121795,0.003254463,0.00007337876,0.000006202193,0.0001159617,0.008176528],"genre_scores_gemma":[0.9515306,0.00005924722,0.04563547,0.001114779,0.0003937515,0.00003278403,0.00002102041,0.00001261727,0.001199712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8894609,"threshold_uncertainty_score":0.5013479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349193981385322,"score_gpt":0.2514040175404045,"score_spread":0.2379120777265513,"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."}}