{"id":"W2346246110","doi":"10.7717/peerj.2001","title":"An individual-based modelling approach to estimate landscape connectivity for bighorn sheep (<i>Ovis canadensis)</i>","year":2016,"lang":"en","type":"article","venue":"PeerJ","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ovis canadensis; Geography; Ecology; Biology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002598439,0.000123626,0.0001238647,0.00004953984,0.0001765011,0.00005797491,0.0001740709,0.00005167411,0.000228244],"category_scores_gemma":[0.00004435336,0.00009365855,0.0000487945,0.0001450225,0.00003189021,0.0003007923,0.00003240542,0.0000477849,0.0000886733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007241,"about_ca_system_score_gemma":0.00002412526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249824,"about_ca_topic_score_gemma":0.001492991,"domain_scores_codex":[0.9989851,0.00003140864,0.0001465681,0.0003633582,0.0002119709,0.0002616508],"domain_scores_gemma":[0.9994136,0.00008352195,0.00005224768,0.0002708813,0.0000241584,0.0001555634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000195949,0.0005182929,0.1878541,0.00002406794,0.00004342328,0.000002033049,0.0005898278,0.6981962,0.02182847,0.0006699287,0.042153,0.0479247],"study_design_scores_gemma":[0.0007031116,0.0001802229,0.06139305,0.00002154998,0.00004156596,0.000004980602,0.00005661737,0.9090756,0.003802618,0.0004806484,0.02386761,0.0003724078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6276568,0.000002123428,0.368388,0.001687573,0.00008417959,0.000227788,0.000055469,0.00005394343,0.001844156],"genre_scores_gemma":[0.9785324,4.632544e-7,0.01998663,0.0008358555,0.0000581136,0.0001313846,0.00002976682,0.00001821564,0.0004071869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3508756,"threshold_uncertainty_score":0.3819285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795780766540909,"score_gpt":0.2700408104405406,"score_spread":0.2420830027751315,"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."}}