{"id":"W4409277314","doi":"10.1898/nwn23-15","title":"A HIGH-ELEVATION RECORD FOR THE BUSHY-TAILED WOODRAT (NEOTOMA CINEREA) FOR BRITISH COLUMBIA, CANADA","year":2025,"lang":"en","type":"article","venue":"Northwestern Naturalist","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elevation (ballistics); Ecology; Biology; Geography; Forestry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001830117,0.0000955602,0.0001448712,0.00001062275,0.0004874992,0.000147374,0.0002751147,0.0001063779,0.0003898842],"category_scores_gemma":[0.0001353049,0.000109463,0.00006101027,0.0002086555,0.0000826234,0.0001648072,0.00005770662,0.0001118102,0.00001182954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032304,"about_ca_system_score_gemma":0.0001360842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9486297,"about_ca_topic_score_gemma":0.9995253,"domain_scores_codex":[0.9990278,0.00003219414,0.0002407266,0.0003182294,0.0001340792,0.0002469491],"domain_scores_gemma":[0.9990634,0.0005047163,0.0001154451,0.0002350693,0.00005150012,0.00002990986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004212405,0.00001541617,0.8409995,0.00001421098,0.0000265584,0.000001958381,0.00001663723,0.00003773948,0.0000311132,0.00003706291,0.1440838,0.0146939],"study_design_scores_gemma":[0.0007245794,0.00002387244,0.8846045,0.00001617095,0.00004582195,0.00000353993,0.00003523537,0.0005309575,0.00001743219,0.0004211869,0.1134551,0.0001216656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925827,0.00004246345,0.0002873979,0.004370639,0.001207349,0.001148566,0.0001498354,0.00003247218,0.000178534],"genre_scores_gemma":[0.9671316,0.00000687545,0.0002662625,0.005732318,0.00007724609,0.0005407691,0.0002436136,0.00001087215,0.02599044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05089562,"threshold_uncertainty_score":0.4463773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005739882170513379,"score_gpt":0.202481313433626,"score_spread":0.1967414312631126,"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."}}