{"id":"W6960682936","doi":"10.1371/journal.pone.0269587.t001","title":"Model results from deer and elk behavioral response to passing vehicles.","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Vigilance (psychology); Wildlife management; Animal behavior; Aerial survey; Time budget","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":[0.002594367,0.002366603,0.001154208,0.001541952,0.0008070524,0.001747171,0.00372622,0.002538065,0.07941797],"category_scores_gemma":[0.01241881,0.0007430476,0.002308122,0.002423483,0.0003786903,0.0009478335,0.001023162,0.002293674,0.06396261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001919248,"about_ca_system_score_gemma":0.002655255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1013983,"about_ca_topic_score_gemma":0.1989808,"domain_scores_codex":[0.9989331,0.0002705205,0.00007792009,0.0003687836,0.0002017444,0.0001479879],"domain_scores_gemma":[0.9951414,0.002600991,0.0002720333,0.0007835353,0.0009498312,0.0002521675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001241294,0.00007599364,0.004813298,0.000563992,0.0001840104,0.00003195544,0.00002877626,0.004166142,0.000103673,0.0005422479,0.9861255,0.003240283],"study_design_scores_gemma":[0.002522118,0.0001147949,0.0297844,0.0008539609,0.000430939,0.0001591491,0.000249263,0.01618504,0.0006410669,0.006051172,0.9428984,0.0001095817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008958663,0.0001121106,0.0002588525,0.0001704086,0.00004483898,0.00001248006,0.9973442,0.0004367899,0.0007244731],"genre_scores_gemma":[0.002670987,0.00004470524,0.000754773,0.00008239193,0.000009404253,0.000081798,0.9949375,0.0001188141,0.0012996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1013983,"threshold_uncertainty_score":0.2656796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05385104492142577,"score_gpt":0.28798428747785,"score_spread":0.2341332425564243,"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."}}