{"id":"W1561980526","doi":"10.1002/cyto.a.22586","title":"ISAC's classification results file format","year":2014,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada","keywords":"File format; Computer science; Large format; Information retrieval; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002880639,0.0001026234,0.0001101892,0.00009270048,0.00005807967,0.00003223861,0.000181906,0.0001155048,0.0001751894],"category_scores_gemma":[0.000406195,0.00009840413,0.00009025093,0.0002264715,0.00004699291,0.000005637476,0.00007822167,0.00006163897,0.0001681564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001186743,"about_ca_system_score_gemma":0.00001353419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004052386,"about_ca_topic_score_gemma":0.000006563536,"domain_scores_codex":[0.999179,0.00004681839,0.0002129114,0.0002807656,0.0001102391,0.000170277],"domain_scores_gemma":[0.999136,0.00002216195,0.00009750892,0.0006081306,0.00007542518,0.00006079251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002966705,0.00003605478,0.00044121,0.000006765095,0.00002165322,4.352295e-7,0.00001007106,0.000001220545,0.3233125,0.00002643257,0.6694653,0.006648712],"study_design_scores_gemma":[0.0001692121,0.00008430582,0.00252098,0.000005439706,0.00001243211,0.000003412869,0.0000141559,0.0005121031,0.2483328,0.00002639428,0.7482059,0.000112832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4218334,0.0006052796,0.08911994,0.0007146056,0.0002077464,0.0006259113,0.0003028408,0.0004413344,0.4861489],"genre_scores_gemma":[0.9898151,0.00008248053,0.002105737,0.0003767584,0.0003025915,0.00003727974,0.001721978,0.00001682026,0.005541249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5679817,"threshold_uncertainty_score":0.4012804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385666686076491,"score_gpt":0.27268116014584,"score_spread":0.2588244932850751,"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."}}