{"id":"W7132990723","doi":"","title":"Abundance Estimates for the Last Remaining Population of Blue Racer (Coluber constrictor foxii) in Canada","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endangered species; Abundance (ecology); Population; Habitat; Population size; Distance sampling; Mark and recapture; Critically endangered","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":[0.0003910935,0.0001144214,0.0001432978,0.001269049,0.0007596981,0.0003400822,0.0004163678,0.00007775357,0.001770942],"category_scores_gemma":[0.001118232,0.00008099451,0.0001685492,0.0007744313,0.0001677146,0.0001832984,0.0002586189,0.0001927245,0.0002300435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005523902,"about_ca_system_score_gemma":0.003747868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747785,"about_ca_topic_score_gemma":0.987994,"domain_scores_codex":[0.9998446,0.000008405969,0.000007391887,0.00003632687,0.00007461086,0.00002867909],"domain_scores_gemma":[0.999286,0.00005309404,0.00006953204,0.00002255608,0.0005181975,0.00005063631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005356174,0.00001789106,0.9457552,0.00005246909,0.00004786796,0.00008505291,0.0007885303,0.004437448,0.003050189,0.0006360541,0.003449569,0.04162626],"study_design_scores_gemma":[0.000003101498,0.00001080565,0.9927442,0.00001871768,0.00001327652,0.00003421066,0.0004360399,0.003059244,0.0004477231,0.00005037511,0.003173776,0.00000848334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859164,0.0005071131,0.002299819,0.0001425681,0.000006300912,0.00002933783,0.007228588,0.00006173643,0.003807949],"genre_scores_gemma":[0.9852645,0.0004704702,0.004062793,0.00003445106,0.000003515734,0.00002299626,0.006461426,0.00001928455,0.003660558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02522147,"threshold_uncertainty_score":0.05073994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795117980668394,"score_gpt":0.3563720786276105,"score_spread":0.3184208988209266,"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."}}