{"id":"W2325185157","doi":"10.1007/s00442-016-3605-6","title":"Differential fitness in field and forest explains density-independent habitat selection by gartersnakes","year":2016,"lang":"en","type":"article","venue":"Oecologia","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ectotherm; Habitat; Ideal free distribution; Biology; Ecology; Population density; Ecological trap; Density dependence; Selection (genetic algorithm); Temperate climate; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.00005623976,0.00008333878,0.0000981878,0.00002013342,0.00006049229,0.000009217491,0.00007257464,0.0001301754,0.001770728],"category_scores_gemma":[0.00003190659,0.0000517758,0.00001951519,0.00003759937,0.0001216169,0.00006956255,0.00008910029,0.00006220298,0.0001590948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008368742,"about_ca_system_score_gemma":0.000003410351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006289969,"about_ca_topic_score_gemma":0.008491728,"domain_scores_codex":[0.9993467,0.00004495828,0.0001029184,0.0002375905,0.0000635789,0.0002042885],"domain_scores_gemma":[0.9997543,0.00009358773,0.00003316786,0.00006810461,0.000002199598,0.00004862376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002289741,0.00003746782,0.9310737,0.000001365625,0.000002470951,0.000004791701,0.00003498444,0.00000132318,0.05716333,0.00002316944,0.004675028,0.006959532],"study_design_scores_gemma":[0.0004231253,0.0002185579,0.989776,0.000004674679,0.000002930559,0.00001163845,0.00003191064,0.00005136171,0.008269021,0.000159348,0.0009481126,0.0001033601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997273,0.000005226441,0.001075279,0.000504342,0.0001541736,0.0001055398,0.000002005611,0.00002066214,0.0008597654],"genre_scores_gemma":[0.9981701,0.00002069647,0.00004287711,0.0001602775,0.00002184488,0.00001364604,0.000002182035,0.00000415462,0.001564225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05870232,"threshold_uncertainty_score":0.9991418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00513282747164723,"score_gpt":0.2011204379773534,"score_spread":0.1959876105057062,"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."}}