{"id":"W6893209086","doi":"10.5281/zenodo.14929706","title":"Clinocera abbreviata Sinclair & Plant, 2022, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Summit; Chiang mai; Malaise; Population","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":[0.0005059468,0.002334652,0.00105491,0.003058388,0.003114376,0.001650822,0.001343855,0.002044795,0.01392997],"category_scores_gemma":[0.001710841,0.0005967641,0.0004819021,0.005303117,0.001121962,0.003297846,0.001267494,0.002228065,0.01355777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564482,"about_ca_system_score_gemma":0.001527739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03986503,"about_ca_topic_score_gemma":0.06904651,"domain_scores_codex":[0.9992557,0.00006748867,0.0001197386,0.000251656,0.0002030933,0.0001023347],"domain_scores_gemma":[0.9989453,0.0001793989,0.0002634476,0.0001373913,0.000335018,0.0001395173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005341545,0.0001941098,0.03402545,0.001835963,0.0001700399,0.006518243,0.002007693,0.002719876,0.01160409,0.002640001,0.1495489,0.7882015],"study_design_scores_gemma":[0.0002804975,0.0002966812,0.2074394,0.00239101,0.0004096255,0.01895206,0.003946074,0.001965147,0.002843042,0.002022139,0.7592936,0.0001607409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2135537,0.06350825,0.02657302,0.004854081,0.009071589,0.004602625,0.07598435,0.002726059,0.5991263],"genre_scores_gemma":[0.7270688,0.03491632,0.04793469,0.00701066,0.00158686,0.004462113,0.04922598,0.0005322644,0.1272623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03986503,"threshold_uncertainty_score":0.07926595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574963081531999,"score_gpt":0.2407856194177561,"score_spread":0.2050359886024361,"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."}}