{"id":"W2897751140","doi":"10.7939/r3vm2k","title":"Landscape- and Micro-scale Habitat Selection by Greater Short-horned Lizards","year":2014,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Scale (ratio); Selection (genetic algorithm); Geography; Ecology; Biology; Cartography; Computer science","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":[0.0001934864,0.0001004092,0.0001624615,0.0003927802,0.0002374475,0.0003802309,0.0001666579,0.0001244058,0.0007835706],"category_scores_gemma":[0.0003829078,0.0001250316,0.0001886702,0.0002311097,0.0002680616,0.0001675797,0.0002616043,0.0001480927,0.00008074281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004426001,"about_ca_system_score_gemma":0.0001813655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05876312,"about_ca_topic_score_gemma":0.2052547,"domain_scores_codex":[0.9998913,0.00002274537,0.00000652862,0.00003608235,0.00001387604,0.00002951461],"domain_scores_gemma":[0.9998257,0.00003008062,0.00005797483,0.00001615695,0.00001937897,0.00005076576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003006712,0.00001059475,0.9965562,0.000002588782,0.00002378616,0.00004037297,0.0001609671,0.0001595767,0.001371951,0.00001879906,0.00002701764,0.001598148],"study_design_scores_gemma":[7.858017e-7,0.000008162436,0.9995302,8.572563e-7,0.000002855992,0.00003360796,0.0001033068,0.0002658493,0.00002725525,0.000005917195,0.00002054221,7.319674e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999229,0.000007470418,0.00001361538,0.000002670081,1.451647e-7,4.170103e-7,0.00001159761,4.465891e-7,0.0000408026],"genre_scores_gemma":[0.9997992,0.00001205779,0.00004901859,0.000003634731,4.927012e-7,0.000001023404,0.00004926294,5.998693e-7,0.0000846979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05876312,"threshold_uncertainty_score":0.1168422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002927581906883911,"score_gpt":0.1436981799160553,"score_spread":0.1407705980091714,"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."}}