{"id":"W6961108502","doi":"10.1371/journal.pone.0257198.s001","title":"Descriptions and data source of variables used in open population N-mixture models assessing sage-grouse lek trends, 1995–2013.","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data source; Population; Precipitation; Variable (mathematics); Statistical analysis","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":[0.002049204,0.000921355,0.0006688773,0.002746013,0.0006591838,0.0009709098,0.001939496,0.0005573515,0.0770565],"category_scores_gemma":[0.009731807,0.0005761868,0.0008953272,0.005467203,0.0002839394,0.0008415014,0.0007945366,0.001072874,0.02813721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350274,"about_ca_system_score_gemma":0.003602052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2067499,"about_ca_topic_score_gemma":0.2399562,"domain_scores_codex":[0.9993235,0.0001182188,0.0001094829,0.0001889533,0.0001881484,0.0000717214],"domain_scores_gemma":[0.9955589,0.001805236,0.0003773505,0.0004725628,0.001618647,0.0001672308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001651562,0.00009573049,0.03431212,0.00159444,0.0001253919,0.0001197534,0.0002321253,0.006131193,0.0005014862,0.001636712,0.9250969,0.02998897],"study_design_scores_gemma":[0.0003879207,0.00008167236,0.1248541,0.001559114,0.0002564956,0.0002156766,0.0009804923,0.006592389,0.001605323,0.004778475,0.8585548,0.0001334448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001626162,0.00009667379,0.002576377,0.0000352688,0.00004697846,0.0001609457,0.9935796,0.0003594725,0.0015185],"genre_scores_gemma":[0.01160231,0.0003068118,0.01402004,0.0001278643,0.00002303662,0.001922718,0.9675408,0.0006481682,0.003808249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2067499,"threshold_uncertainty_score":0.4110931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106895720544022,"score_gpt":0.3019023669572791,"score_spread":0.195006646413257,"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."}}