{"id":"W2139983189","doi":"10.1644/10-mamm-a-313.1","title":"Density estimation for small mammals from livetrapping grids: rodents in northern Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada; Yukon University; University of Toronto; University of British Columbia","funders":"Arctic Institute of North America","keywords":"Tundra; Estimator; Population density; Taiga; Population; Boreal; Distance sampling; Ecology; Physical geography; Boundary (topology); Arctic; Statistics; Geography; Biology; Mathematics; Transect; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003180276,0.00006762856,0.0001478988,0.00003570284,0.00004771793,0.000004298983,0.0001571476,0.00006998995,0.0002260595],"category_scores_gemma":[0.0001335578,0.00006455545,0.0000346992,0.00006085505,0.00003246799,0.0001367954,0.00003096177,0.0001173672,0.00001409373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002284766,"about_ca_system_score_gemma":0.00009323409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2389665,"about_ca_topic_score_gemma":0.9430168,"domain_scores_codex":[0.9992638,0.00006061344,0.0003244158,0.0001001998,0.0001019053,0.0001491127],"domain_scores_gemma":[0.9994687,0.000112769,0.0002692163,0.00007222422,0.00002489686,0.00005223087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009912733,0.00003749707,0.9953263,0.00000226959,0.0000139306,0.00004245547,0.0003436519,0.0007393801,0.0002289843,0.0000121574,0.0004193377,0.002734946],"study_design_scores_gemma":[0.0004170747,0.00007549646,0.9958326,0.00001174212,0.00001623492,0.00002526218,0.00009668645,0.000839799,0.0002871195,0.002176462,0.0001563585,0.00006522939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993958,0.00001636926,0.00507921,0.0003280425,0.0003438073,0.00009166994,0.000002718506,0.000002480714,0.0001777183],"genre_scores_gemma":[0.9939488,0.000004426687,0.005470586,0.0004762901,0.00005423831,0.00000327182,0.000003301466,0.000005075853,0.00003402315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7040503,"threshold_uncertainty_score":0.7661013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284278563174986,"score_gpt":0.1966210971077783,"score_spread":0.1737783114760284,"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."}}