{"id":"W3025298991","doi":"10.1071/wr18200","title":"Please come again: attractive bait augments recapture rates of capture-naïve snowshoe hares","year":2020,"lang":"en","type":"article","venue":"Wildlife Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; The Scarborough Hospital; Trent University","funders":"","keywords":"Mark and recapture; Sampling (signal processing); Biology; Population; Ecology; Toxicology; Statistics; Mathematics; Computer science; Environmental health; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007679284,0.000236603,0.0004109383,0.000284426,0.0002465794,0.0004623538,0.0002580224,0.0003875916,0.00218578],"category_scores_gemma":[0.001439455,0.0001532787,0.0002331018,0.00008384592,0.0003011109,0.000385759,0.0003807765,0.0004364823,0.0003222475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365937,"about_ca_system_score_gemma":0.0001096114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008090502,"about_ca_topic_score_gemma":0.002055961,"domain_scores_codex":[0.9996425,0.0001136191,0.00001913426,0.0001076173,0.00006664478,0.00005047047],"domain_scores_gemma":[0.9990689,0.0003017027,0.0001790296,0.000103364,0.0001130007,0.0002340572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006753455,0.001706965,0.2798465,0.0005687218,0.0004315779,0.0007664255,0.001878502,0.001050753,0.6507957,0.0002551331,0.001770473,0.05417592],"study_design_scores_gemma":[0.0001179676,0.022925,0.9043633,0.00009288455,0.000331967,0.0007952338,0.001410959,0.004462208,0.06169765,0.0002530174,0.003488493,0.00006126222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992567,0.000108526,0.0002540669,0.00002950083,0.00002087976,0.00001296072,0.00004850015,0.00001796006,0.000251027],"genre_scores_gemma":[0.9981514,0.00007941829,0.000813037,0.0001117104,0.00002427432,0.00003726409,0.00009154083,0.0000099164,0.0006814431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00218578,"threshold_uncertainty_score":0.007312179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09085990576750817,"score_gpt":0.3448633321821916,"score_spread":0.2540034264146834,"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."}}