{"id":"W6968844740","doi":"10.5281/zenodo.7682169","title":"chodson/eriococcidae_PGE: v1.0","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Darwin Trust of Edinburgh","keywords":"Code (set theory); Context (archaeology); Identification (biology); Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008595437,0.002087214,0.002093005,0.003808288,0.002695808,0.003290418,0.003324642,0.003422032,0.354904],"category_scores_gemma":[0.001779076,0.002338728,0.001511934,0.003386497,0.001080255,0.003150723,0.003319485,0.002882568,0.4489489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103143,"about_ca_system_score_gemma":0.001508564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003257827,"about_ca_topic_score_gemma":0.004134051,"domain_scores_codex":[0.9995412,0.00005499838,0.00004489822,0.0001206571,0.0001368752,0.0001013287],"domain_scores_gemma":[0.9993273,0.0001644897,0.00007669893,0.0002033606,0.00008331459,0.0001448574],"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":[0.0004208482,0.00004047414,0.0008853582,0.002098627,0.00004524635,0.0002152055,0.0003009965,0.0003300559,0.02505581,0.01175148,0.9349496,0.02390626],"study_design_scores_gemma":[0.00005383382,0.00001962436,0.001173103,0.0001553194,0.00002074832,0.0002678915,0.00004883568,0.0001887936,0.003635676,0.002052071,0.992347,0.00003701303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002955949,0.002116212,0.02658658,0.0009772334,0.001455105,0.0002548877,0.8019282,0.06875795,0.09496794],"genre_scores_gemma":[0.009035567,0.001951984,0.0223803,0.0007845956,0.0001442311,0.0007766696,0.8607049,0.05021561,0.05400609],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.354904,"threshold_uncertainty_score":0.9201511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03994746385157173,"score_gpt":0.2682682054049905,"score_spread":0.2283207415534188,"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."}}