{"id":"W6969244167","doi":"10.5281/zenodo.6328922","title":"Cedrimyia margareti Namayandeh & Hudson 2022, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Seta; Paratype; Holotype; Wing; Tentorium; Groove (engineering)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003476981,0.001388905,0.0008282965,0.002097261,0.002427326,0.0008191827,0.001135772,0.001280732,0.01099004],"category_scores_gemma":[0.0009918583,0.0004877183,0.0002246,0.00201488,0.0008746881,0.002227722,0.001084578,0.001185435,0.006631556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312846,"about_ca_system_score_gemma":0.0008021566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905204,"about_ca_topic_score_gemma":0.04039,"domain_scores_codex":[0.9997515,0.00002561499,0.00002962031,0.00007965659,0.00007357039,0.0000399678],"domain_scores_gemma":[0.9996113,0.00008568305,0.0001373874,0.00003818853,0.00006787305,0.00005947806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001118353,0.0002999982,0.063587,0.002266581,0.000199845,0.009538678,0.004520843,0.00232186,0.01764861,0.004495788,0.09376223,0.8002402],"study_design_scores_gemma":[0.0004657352,0.0004146341,0.3176804,0.001949742,0.0004386987,0.01274824,0.004036671,0.001775706,0.002611178,0.001791352,0.6559843,0.0001033775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4740156,0.08109668,0.01353128,0.00311186,0.005590022,0.002384929,0.02071392,0.001405034,0.3981507],"genre_scores_gemma":[0.8804433,0.02441226,0.01617235,0.003385943,0.001487227,0.001681473,0.009732587,0.00009406636,0.06259073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01905204,"threshold_uncertainty_score":0.03788227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305083335232715,"score_gpt":0.1948165962509897,"score_spread":0.1643082627277182,"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."}}