{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009643582,0.0001834509,0.0002775601,0.00007651459,0.0003295786,0.00003605131,0.0005613493,0.0002184398,0.003773092],"category_scores_gemma":[0.0009853268,0.0001688723,0.00008455454,0.0007636989,0.000641804,0.0003726083,0.0004176073,0.0007583228,0.001461094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660865,"about_ca_system_score_gemma":0.00009769533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007309424,"about_ca_topic_score_gemma":0.0001525237,"domain_scores_codex":[0.9970543,0.0005812313,0.0003357582,0.0005392482,0.0009214778,0.0005679868],"domain_scores_gemma":[0.9985628,0.0005550234,0.0001203667,0.0003318989,0.000086744,0.0003431792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002139247,0.0001566265,0.8338308,0.00003358203,0.00004603605,0.00003297031,0.00166029,0.0003253618,0.001620199,0.0001610238,0.1611309,0.0007882825],"study_design_scores_gemma":[0.000818754,0.0003135418,0.9622321,0.00004104363,0.0000160574,0.000004608155,0.001329122,0.001746368,0.0009784697,0.0006092791,0.03164736,0.000263282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621107,0.0001173465,0.00006885383,0.02669025,0.00009585831,0.0005907735,0.00005664199,0.00004333714,0.01022626],"genre_scores_gemma":[0.9930983,0.00005381919,0.000255708,0.005041875,0.0001188314,0.00006163817,0.00004768661,0.00002321036,0.001298971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1294836,"threshold_uncertainty_score":0.9993164,"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."}}