{"id":"W6969075482","doi":"10.5281/zenodo.4342786","title":"Myotis annectans Dobson 1871","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Cave; Distribution (mathematics); 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":[0.00009498352,0.0005104129,0.0002166333,0.0008133034,0.001070625,0.0003178935,0.0003242806,0.0004753334,0.008724551],"category_scores_gemma":[0.000375152,0.0002258201,0.0001007599,0.000550301,0.0005808967,0.0005401951,0.0005997102,0.0003613568,0.002720386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005258805,"about_ca_system_score_gemma":0.0002867753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001877,"about_ca_topic_score_gemma":0.02559894,"domain_scores_codex":[0.9998596,0.00001266929,0.00001055208,0.00004632989,0.00005243469,0.00001830878],"domain_scores_gemma":[0.9998875,0.00002586494,0.0000348587,0.000006951642,0.00002762187,0.00001723751],"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":[0.0008871396,0.0001517966,0.1981528,0.00207808,0.000128718,0.005540901,0.005969377,0.002403444,0.1063158,0.01127284,0.03968517,0.627414],"study_design_scores_gemma":[0.00003171697,0.0001982821,0.5888523,0.0005471509,0.00006010162,0.004258457,0.001538946,0.0003880414,0.004545266,0.0008195461,0.3987352,0.0000251407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.536973,0.01017523,0.004692469,0.0005200384,0.0006803683,0.0004107547,0.002872713,0.0003221681,0.4433533],"genre_scores_gemma":[0.9208904,0.003590483,0.002678939,0.0004405426,0.0001425162,0.0002094387,0.002056242,0.00003039851,0.06996106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001877,"threshold_uncertainty_score":0.02918649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494780941404024,"score_gpt":0.2212336547370077,"score_spread":0.1962858453229674,"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."}}