{"id":"W2273366562","doi":"","title":"Small Mammals in a Subalpine Old-growth Forest and Clearcuts","year":2009,"lang":"en","type":"article","venue":"Research Exchange (Washington State University)","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruce Power (Canada)","funders":"","keywords":"Physics; Stereochemistry; Combinatorics; Chemistry; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008119211,0.0001319788,0.0001790421,0.0003546422,0.0003442406,0.00003389452,0.0003039835,0.00008995573,0.0003724605],"category_scores_gemma":[0.00009804499,0.0001353225,0.0000312636,0.0008674444,0.0004378619,0.0003155093,0.0005482489,0.0004251719,0.0001400644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004701036,"about_ca_system_score_gemma":0.00001790019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781619,"about_ca_topic_score_gemma":0.01566595,"domain_scores_codex":[0.9982731,0.0002382389,0.0001075478,0.0004167283,0.0002924826,0.0006718606],"domain_scores_gemma":[0.9994886,0.0001171186,0.00003321674,0.000142852,0.00004253399,0.0001756879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005230054,0.0003395897,0.9507552,0.00004011315,0.00001646844,0.0018055,0.004898969,0.00004653768,0.003753871,0.002385215,0.002633949,0.03280153],"study_design_scores_gemma":[0.0006963007,0.0006809898,0.9854204,0.00002542276,0.000006823988,0.000006388676,0.0009893182,0.0001321733,0.0001737776,0.0009073077,0.01076864,0.0001924733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826899,0.00006127038,0.00003033055,0.001311523,0.00001556022,0.0002761694,0.000007381576,0.00003540006,0.01557251],"genre_scores_gemma":[0.9867434,0.001366213,0.0001865505,0.000123048,0.00001324214,0.000001389568,0.000003035949,0.000008340978,0.01155479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03466513,"threshold_uncertainty_score":0.8741966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0614917577124483,"score_gpt":0.2825494335776962,"score_spread":0.2210576758652479,"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."}}