{"id":"W6906845470","doi":"10.17632/gbp6d36mtm","title":"CEmCA","year":2022,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Echinococcus multilocularis; Key (lock); Field (mathematics); Table (database)","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001330058,0.0005449292,0.000570124,0.0003617285,0.0002720395,0.0001383533,0.01038891,0.000223,0.4693182],"category_scores_gemma":[0.0004048994,0.0005808776,0.00006491149,0.0005651601,0.00007868965,0.0004103101,0.01488833,0.001417748,0.03965418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274966,"about_ca_system_score_gemma":0.0004226049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454886,"about_ca_topic_score_gemma":0.0009495692,"domain_scores_codex":[0.9954878,0.000348943,0.0004889617,0.001644907,0.001345446,0.0006839211],"domain_scores_gemma":[0.984924,0.0001081271,0.0003741375,0.01437182,0.00003266183,0.0001892101],"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":[0.00003333603,0.0001688881,6.352873e-7,0.00007603414,0.000162898,0.0002436529,0.000003503935,0.000002288806,0.000007091654,0.000006409447,0.9989274,0.0003679196],"study_design_scores_gemma":[0.0003407076,0.00004511554,0.000001730607,0.00001917152,0.0002820037,0.00005376841,0.00002454111,0.00002480728,0.000001807715,0.00002899428,0.9985567,0.0006205919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.139217e-7,0.0007624579,0.000001650906,0.00007685245,0.00119238,0.0003836512,0.9966969,0.0002121973,0.0006736016],"genre_scores_gemma":[1.933053e-7,0.0004026642,0.000110421,0.0003477378,0.0004267884,0.00009190821,0.9975616,0.0001724554,0.0008862391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.429664,"threshold_uncertainty_score":0.9996642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1547705850525652,"score_gpt":0.3579408175606886,"score_spread":0.2031702325081234,"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."}}