{"id":"W4362509087","doi":"10.1353/rvt.2023.0011","title":"Washed Clean","year":2023,"lang":"en","type":"article","venue":"River teeth","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creatures; Dirt; Art; Horticulture; Animal science; Geography; Archaeology; Cartography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004932252,0.00004750122,0.00007973298,0.00004005786,0.00003331954,0.000004813312,0.00003635664,0.00001938179,0.0004224386],"category_scores_gemma":[0.000009709581,0.00003732194,0.00004921595,0.0001532623,0.00002435476,0.00002941331,0.00004084475,0.00007484818,0.00112484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000226212,"about_ca_system_score_gemma":0.0000139591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001354335,"about_ca_topic_score_gemma":0.000005490321,"domain_scores_codex":[0.9996,0.000008722488,0.0000580479,0.0000952681,0.0001121835,0.0001257824],"domain_scores_gemma":[0.9997377,0.00001783612,0.000009753446,0.0001552875,0.00001115526,0.00006828759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002287518,0.0001734068,0.09868807,0.0000984084,0.0001317063,0.001549916,0.001861016,0.000005416634,0.0103711,0.00288782,0.8134471,0.07055726],"study_design_scores_gemma":[0.002220568,0.0003329664,0.616451,0.00005828146,0.00007976788,0.00007120221,0.0005261481,0.0007138879,0.002746611,0.0005819395,0.3760378,0.0001799046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827479,0.0000369509,0.00001043695,0.004370929,0.0001292012,0.00008554895,0.000004663122,0.00017573,0.01243864],"genre_scores_gemma":[0.9907142,0.00003974068,0.0003704239,0.003548802,0.0001748526,0.000003977831,0.00004166032,0.00001135475,0.005094986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5177629,"threshold_uncertainty_score":0.9996529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444960115767099,"score_gpt":0.2906597561075813,"score_spread":0.2662101549499103,"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."}}