{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001757695,0.0002557813,0.0002267059,0.002336776,0.002929889,0.0007969631,0.0006242998,0.0002807032,0.003157093],"category_scores_gemma":[0.0004622269,0.0002247772,0.0001318174,0.002912648,0.0003535552,0.0002567615,0.000579123,0.0005225905,0.0006690208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006289413,"about_ca_system_score_gemma":0.007140318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897985,"about_ca_topic_score_gemma":0.9988824,"domain_scores_codex":[0.9997821,0.000008217046,0.0000100331,0.00004132013,0.00008519386,0.00007311255],"domain_scores_gemma":[0.9987696,0.00003361885,0.000121959,0.00003033134,0.0007441669,0.0003004155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007651588,0.00007063037,0.9120729,0.0001703835,0.00005149276,0.0005687129,0.004972962,0.0001467905,0.005363261,0.0002176511,0.02142303,0.05486565],"study_design_scores_gemma":[0.00000189774,0.000005784092,0.9897863,0.00005283508,0.00001139073,0.0001260205,0.00182259,0.00008007402,0.0001243848,0.00001024314,0.00797073,0.00000772811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490218,0.002589879,0.000695844,0.0005085556,0.00006287959,0.0001039162,0.02029706,0.0001196837,0.02660031],"genre_scores_gemma":[0.9815622,0.001409908,0.00175801,0.0002296634,0.00001482556,0.00005168381,0.007105728,0.00002803388,0.007839969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020145,"threshold_uncertainty_score":0.04563308,"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."}}