{"id":"W6968780429","doi":"10.5281/zenodo.4342796","title":"Hypsugo cadornae Thomas 1916","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Distribution (mathematics); Locality; Historical record; Taxonomy (biology)","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":[0.00007550986,0.0004818483,0.000177943,0.0008823019,0.00135143,0.0004447438,0.000318035,0.0003756176,0.01324375],"category_scores_gemma":[0.0003522127,0.0001635163,0.0001002984,0.0006668399,0.0004905305,0.001038719,0.000763778,0.0004720854,0.002189862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527129,"about_ca_system_score_gemma":0.0001921491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346556,"about_ca_topic_score_gemma":0.00642894,"domain_scores_codex":[0.9998866,0.00001553894,0.00001215858,0.00002928853,0.00003568314,0.00002076308],"domain_scores_gemma":[0.9999013,0.00002585455,0.00003215215,0.00001124545,0.00001598029,0.00001339134],"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":[0.0003012375,0.00008879029,0.0331186,0.001045769,0.00005090732,0.005829717,0.002530632,0.001196472,0.0219655,0.01346752,0.03451635,0.8858885],"study_design_scores_gemma":[0.00006940601,0.0002604659,0.1705543,0.0006240271,0.0000882239,0.01542982,0.001891888,0.001206938,0.007245541,0.00317977,0.799411,0.00003874845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3768535,0.02030877,0.005543563,0.0008853289,0.00114347,0.0003078235,0.002393671,0.0005606179,0.5920033],"genre_scores_gemma":[0.9633092,0.003952892,0.001941306,0.0003389102,0.0002895266,0.00007068236,0.0008734921,0.00001977985,0.0292042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01324375,"threshold_uncertainty_score":0.04430479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160369215549953,"score_gpt":0.2031261469209361,"score_spread":0.1715224547654366,"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."}}