{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004929162,0.0024148,0.001931526,0.008261532,0.001818742,0.004645163,0.004390046,0.002603617,0.3694858],"category_scores_gemma":[0.03119663,0.001106253,0.001680083,0.007764278,0.0006303263,0.003915456,0.003016756,0.002727922,0.2582739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003180372,"about_ca_system_score_gemma":0.004313432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007679387,"about_ca_topic_score_gemma":0.004804109,"domain_scores_codex":[0.9964024,0.0004442246,0.0008403517,0.000615203,0.001281342,0.0004165042],"domain_scores_gemma":[0.966836,0.01067951,0.001928432,0.005963494,0.01366805,0.0009243931],"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":[0.0002011359,0.00004570428,0.0005163956,0.000303751,0.00001870348,0.00008311363,0.00003970524,0.0004876467,0.0005465057,0.001624993,0.9816034,0.01452901],"study_design_scores_gemma":[0.0002183665,0.00005949659,0.002188119,0.0002854532,0.00003286799,0.000252095,0.000114911,0.004524418,0.005806767,0.006175609,0.9802319,0.0001100623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0008067598,0.00005969573,0.02186125,0.0008581384,0.0005476963,0.0006715335,0.897251,0.0611183,0.01682568],"genre_scores_gemma":[0.004756085,0.0001178044,0.02501827,0.0006083313,0.0001984656,0.001810919,0.9375747,0.01451983,0.01539554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3694858,"threshold_uncertainty_score":0.899352,"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."}}