{"id":"W2916166201","doi":"10.5070/v419110160","title":"Rating of killing traps against humane trapping standards using computer simulations","year":2000,"lang":"en","type":"article","venue":"Proceedings - Vertebrate Pest Conference","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Trap (plumbing); Marten; Trapping; Wildlife; Camera trap; Ecology; Fishery; Biology; Environmental science; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005414124,0.0006919839,0.0005934985,0.0009732803,0.000337729,0.001121131,0.0008661927,0.0007326964,0.0009487266],"category_scores_gemma":[0.02475356,0.0003111247,0.0004931789,0.0005081311,0.0004256096,0.0008087673,0.0005312617,0.0005096914,0.0001320458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518316,"about_ca_system_score_gemma":0.0008569272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208267,"about_ca_topic_score_gemma":0.01612845,"domain_scores_codex":[0.9976839,0.001173598,0.0001917943,0.0002015238,0.0006086647,0.0001404664],"domain_scores_gemma":[0.9761143,0.01723447,0.00181215,0.001272494,0.003157283,0.0004094054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003053911,0.0001314334,0.0143438,0.00006249719,0.00006947507,0.0000295251,0.00009919467,0.9739751,0.0008800909,0.0009169809,0.0006699227,0.008516689],"study_design_scores_gemma":[0.00002980357,0.000175225,0.002504528,0.00001224216,0.00001671858,0.00001271352,0.00005391041,0.9956028,0.0008151376,0.000447751,0.0003152312,0.00001382164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962105,0.000201431,0.03101153,0.0003450961,0.00004399383,0.0002027017,0.0005478749,0.0005870386,0.004955246],"genre_scores_gemma":[0.9893161,0.00007348159,0.009773538,0.0000294923,0.000004805678,0.00006238478,0.0003389876,0.00002579756,0.0003753956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0208267,"threshold_uncertainty_score":0.04141092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103865168703399,"score_gpt":0.2714443203986223,"score_spread":0.2404056687115883,"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."}}