{"id":"W6961076743","doi":"10.1371/journal.pone.0265316.g004","title":"MaxEnt model-predicted probability of occurrence of sharp-tailed grouse leks across southern Saskatchewan, Canada.","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standard deviation; Bayesian probability; Population; Statistical model; Ectotherm","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":[0.0007041754,0.0005893545,0.0003496872,0.0006863555,0.0005601227,0.0008290862,0.00153687,0.0005245931,0.00982987],"category_scores_gemma":[0.001240943,0.0003304292,0.0009236473,0.001055482,0.0003068595,0.0003917987,0.0004104936,0.000733569,0.002202656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00608144,"about_ca_system_score_gemma":0.01082596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973269,"about_ca_topic_score_gemma":0.9794855,"domain_scores_codex":[0.9997851,0.00004156249,0.000008836186,0.00008574774,0.0000233317,0.00005534168],"domain_scores_gemma":[0.9994055,0.0001413293,0.00003213792,0.00003253989,0.0003137101,0.00007477066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005687793,0.0001254122,0.5286312,0.000201285,0.0007789836,0.0002379327,0.0002519302,0.3472871,0.001862171,0.002504821,0.090575,0.0269753],"study_design_scores_gemma":[0.0002397423,0.00005503257,0.4291366,0.0002325307,0.0002828591,0.0001167213,0.001460281,0.5412835,0.001359406,0.001788165,0.02389965,0.0001453738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8001075,0.0004952927,0.009415978,0.001248907,0.0002028075,0.00007096607,0.174281,0.001034632,0.01314303],"genre_scores_gemma":[0.9172363,0.0001957519,0.00490612,0.0001785551,0.00001213028,0.00005241498,0.06202118,0.0002212113,0.01517629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02673095,"threshold_uncertainty_score":0.05377668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111008174729337,"score_gpt":0.1994273317779563,"score_spread":0.1683172500306629,"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."}}