{"id":"W6894148729","doi":"10.5281/zenodo.7305952","title":"Coelocephalapion nodicorne","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Basal (medicine); Scutellum; Black spot; Apex (geometry); Key (lock)","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":[0.00005912132,0.0005281166,0.000290526,0.001082434,0.0009319604,0.000242258,0.0003814131,0.0003319919,0.01289048],"category_scores_gemma":[0.0001269414,0.0001409234,0.0001153862,0.000675629,0.0004362934,0.0004135465,0.0007786605,0.0003502616,0.00350653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065816,"about_ca_system_score_gemma":0.0003219002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009778727,"about_ca_topic_score_gemma":0.01890389,"domain_scores_codex":[0.9999212,0.000007151987,0.000007879755,0.00003265479,0.00001797481,0.00001307834],"domain_scores_gemma":[0.99994,0.000006243911,0.00001490489,0.000004685218,0.00001601636,0.0000181133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000643807,0.0001862826,0.08721381,0.001885506,0.00007150806,0.00391452,0.001625946,0.001000844,0.1386628,0.005172109,0.02160103,0.7380219],"study_design_scores_gemma":[0.00005121653,0.0004401076,0.648048,0.0004936249,0.00005155653,0.006759979,0.001651762,0.0004250016,0.002934167,0.000875995,0.3382301,0.00003851898],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5782132,0.01392289,0.005024172,0.0006933784,0.0005077235,0.0005524759,0.005081317,0.0004319498,0.3955728],"genre_scores_gemma":[0.9229952,0.005478869,0.008997362,0.0005502086,0.0001694642,0.0002353967,0.006147643,0.00003756784,0.05538821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01289048,"threshold_uncertainty_score":0.04312301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05482605731134032,"score_gpt":0.1903244551387498,"score_spread":0.1354983978274094,"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."}}