{"id":"W6926645510","doi":"10.25545/4upj00/cqlsnm","title":"pp.m","year":2023,"lang":"ja","type":"dataset","venue":"UNB Dataverse","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007001786,0.0005024876,0.0005601241,0.00009335492,0.0006665015,0.00004689709,0.002585497,0.0008467819,0.1662496],"category_scores_gemma":[0.0003625106,0.0005318973,0.000159493,0.0004537843,0.000995072,0.000235579,0.004341634,0.001509959,0.8586733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193343,"about_ca_system_score_gemma":0.00008089263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009716831,"about_ca_topic_score_gemma":0.02418194,"domain_scores_codex":[0.9970099,0.0006392342,0.000444846,0.0007924672,0.0003141397,0.0007993525],"domain_scores_gemma":[0.9964151,0.0004512633,0.0002608927,0.002633132,0.00001712904,0.0002224246],"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":[0.00005774443,0.0002148257,0.00002385438,0.0000594958,0.00008090438,0.0001415226,0.0001032336,0.0000661351,0.0007917641,0.00002456167,0.9982069,0.0002291319],"study_design_scores_gemma":[0.0003859866,0.0002074471,0.0008342418,0.00004547221,0.000123986,0.00001861144,0.0001775851,0.00003413755,0.00002937561,0.000185618,0.997426,0.000531488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001405188,0.00001427559,0.000001413522,0.0001150955,0.002235486,0.0003471138,0.9945199,0.00007669869,0.001284766],"genre_scores_gemma":[0.0001737738,0.002554013,0.00006364156,0.001455007,0.0002485259,0.00001325069,0.9921155,0.00003998681,0.003336301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6924236,"threshold_uncertainty_score":0.9997132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058059799400191,"score_gpt":0.2513642873010533,"score_spread":0.2307836893070514,"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."}}