{"id":"W4407069940","doi":"10.5206/tba.v6i1.18687","title":"19,000 Scanned Anal Queefs and Counting","year":2025,"lang":"en","type":"article","venue":"tba Journal of Art Media and Visual Culture","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Computer graphics (images); Computer vision; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002201361,0.0001151456,0.0003196876,0.0001229401,0.00009746364,0.00003592173,0.00003573009,0.00008322882,0.0000564967],"category_scores_gemma":[0.000184975,0.00007355487,0.00007587516,0.0001755493,0.00009098263,0.0001013252,0.00003287733,0.0003181294,0.000002115928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002276903,"about_ca_system_score_gemma":0.00009402823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008063823,"about_ca_topic_score_gemma":0.00001899535,"domain_scores_codex":[0.9992507,0.00002509884,0.0002596084,0.000107757,0.0002105689,0.0001462643],"domain_scores_gemma":[0.9993964,0.0000559488,0.0001070735,0.00003392917,0.0001791823,0.0002274793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00388968,0.000517632,0.662986,0.0009750374,0.0007185173,0.001369391,0.01262386,0.000001493269,0.08805057,0.001792553,0.1891895,0.03788581],"study_design_scores_gemma":[0.008709637,0.003749168,0.6769662,0.002104352,0.001147124,0.004001969,0.009534524,0.0005795904,0.007762547,0.001474942,0.2834878,0.0004821495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888834,0.005300786,0.00002290468,0.002835668,0.0002180159,0.00006201765,0.000003208618,0.000008747716,0.002665219],"genre_scores_gemma":[0.9957573,0.0006184445,0.00009615527,0.001069013,0.0005879133,6.074528e-7,0.000005217627,0.000005134817,0.001860151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09429833,"threshold_uncertainty_score":0.2999481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009968867971013325,"score_gpt":0.295587935784215,"score_spread":0.2856190678132017,"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."}}