{"id":"W6949842756","doi":"10.5281/zenodo.3867247","title":"Hylopachyiulus pygmaeus","year":2017,"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":"BC Research (Canada)","funders":"","keywords":"Pongo pygmaeus; Habitat; Vegetation (pathology); Distribution (mathematics); Natural (archaeology)","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":[0.00005348384,0.0003847496,0.000147363,0.001000362,0.0005289085,0.0001521836,0.0002811321,0.0002037183,0.03672945],"category_scores_gemma":[0.0003490635,0.0001509334,0.0001110411,0.0006812935,0.0002909853,0.0004964037,0.0007668425,0.0001850095,0.008035737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761964,"about_ca_system_score_gemma":0.0001988488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003245115,"about_ca_topic_score_gemma":0.00542657,"domain_scores_codex":[0.999931,0.000006843375,0.000007885184,0.00001738158,0.00002260963,0.00001423569],"domain_scores_gemma":[0.9998988,0.00001467154,0.00004302015,0.00001225963,0.00001439272,0.00001681786],"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":[0.0001736311,0.00007761911,0.07933768,0.0005744428,0.00003931261,0.000726028,0.0007382226,0.0003316159,0.01362616,0.001205188,0.017875,0.8852952],"study_design_scores_gemma":[0.00001778816,0.000181066,0.8392352,0.0002176071,0.00001986515,0.001633238,0.0005001022,0.0002926057,0.001453119,0.0005527036,0.155886,0.00001069423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4547103,0.005673048,0.00340096,0.0003520483,0.0002181825,0.0003442568,0.006159034,0.0009600156,0.5281822],"genre_scores_gemma":[0.9511544,0.002147329,0.003124116,0.0001380681,0.0001005589,0.0001695173,0.00374883,0.00004954563,0.03936763],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03672945,"threshold_uncertainty_score":0.1228723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08025507614944098,"score_gpt":0.2176734192040869,"score_spread":0.137418343054646,"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."}}