{"id":"W6981279945","doi":"","title":"DTRASH26 - Contra - Nemesis Enforcer","year":2001,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Hip disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monster; Dance; Quality (philosophy); Punk; Counterfeit; Rumble; Government (linguistics); Cripple","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008039239,0.0004574899,0.0003371877,0.0009308077,0.002959855,0.002818935,0.001141841,0.0032884,0.6396684],"category_scores_gemma":[0.003463683,0.0003873245,0.0003647557,0.0009430292,0.0005777205,0.001379823,0.001536949,0.002567898,0.4512674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065831,"about_ca_system_score_gemma":0.003105205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05036005,"about_ca_topic_score_gemma":0.1563164,"domain_scores_codex":[0.9990397,0.00006471085,0.00003578836,0.000103056,0.0005589983,0.0001975715],"domain_scores_gemma":[0.9980703,0.0002046031,0.00008770002,0.0002269439,0.001041367,0.0003690835],"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":[0.00002280978,0.00002568793,0.0001088107,0.00003070598,7.716266e-7,0.00005362311,0.00004257184,0.00001003264,0.0001840053,0.002342759,0.9815501,0.01562813],"study_design_scores_gemma":[0.000005358927,0.000006988179,0.0004810359,0.00001865732,6.504782e-7,0.00003741025,0.00004267397,0.00001823369,0.00008853043,0.0001053431,0.9991923,0.00000291501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004052267,0.0002495138,0.0001194212,0.002113926,0.0006810755,0.00006277896,0.001512749,0.0005065865,0.9943487],"genre_scores_gemma":[0.001083594,0.00006730859,0.00005903373,0.0007715433,0.00007021622,0.00001602679,0.0003628383,0.00008242809,0.9974868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3603316,"threshold_uncertainty_score":0.5139693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006327785150343709,"score_gpt":0.2044151464988139,"score_spread":0.1980873613484702,"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."}}