{"id":"W6930303370","doi":"10.5281/zenodo.11324425","title":"Synaptomys (Mictomys) borealis","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IUCN Red List; Range (aeronautics); Subgenus; Disjunct; Bog; Boreal; Pleistocene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001415044,0.0007986623,0.0002431373,0.001479074,0.001070643,0.0003392335,0.0005000736,0.0003555922,0.005044423],"category_scores_gemma":[0.0002623981,0.0001398237,0.0001578174,0.0005451143,0.0004402677,0.0007833365,0.000738853,0.0003254095,0.003092556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005829636,"about_ca_system_score_gemma":0.0002977466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02594664,"about_ca_topic_score_gemma":0.05970845,"domain_scores_codex":[0.9998647,0.00001364635,0.00001489614,0.00005367295,0.00003704986,0.00001597748],"domain_scores_gemma":[0.9998403,0.0000106675,0.00007117364,0.00001321685,0.00003391972,0.00003065751],"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":[0.001751613,0.0003354196,0.1976958,0.00164986,0.0002271967,0.007365964,0.004015079,0.0006107964,0.2333876,0.005016628,0.06164317,0.4863009],"study_design_scores_gemma":[0.00006251733,0.000466561,0.7445979,0.0002782646,0.0001088597,0.01586424,0.001444289,0.0003198249,0.005786085,0.0008768391,0.2301453,0.0000493386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.724921,0.02634035,0.003927548,0.001294199,0.0006845733,0.0003348755,0.00835073,0.001728513,0.2324182],"genre_scores_gemma":[0.9708132,0.004661406,0.002813311,0.0005344125,0.0001275209,0.00007085179,0.003464717,0.00003459768,0.01748008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02594664,"threshold_uncertainty_score":0.05159122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772690597070428,"score_gpt":0.2226428324319074,"score_spread":0.2049159264612031,"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."}}