{"id":"W1970121986","doi":"10.1002/wsb.3","title":"Modeling habitat potential for Canada lynx in Michigan","year":2011,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Snowshoe hare; Wildlife; Geography; Population; Ecology; Threatened species; Predation; Population decline; Fishery; Biology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029549,0.0001319952,0.0001365792,0.000008074737,0.0001811715,0.000008233378,0.0002029625,0.000121641,0.001064536],"category_scores_gemma":[0.00004014645,0.000140613,0.0001043747,0.00009274387,0.00008303296,0.00005567335,0.00008316774,0.0001466874,0.00009257578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511392,"about_ca_system_score_gemma":0.00008359663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2236429,"about_ca_topic_score_gemma":0.4699005,"domain_scores_codex":[0.9988949,0.00003495139,0.0002419322,0.0003088094,0.0001592466,0.000360142],"domain_scores_gemma":[0.9996744,0.00003258394,0.00004962153,0.0001558112,0.00001071009,0.0000768196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000854497,0.000149657,0.6174187,0.00001838609,0.00003514838,0.000009290933,0.00244304,0.01872028,0.0001291858,0.000153447,0.3604646,0.000372839],"study_design_scores_gemma":[0.002748082,0.0001476754,0.6506951,0.0000378842,0.00006111891,0.0000150429,0.00374054,0.2544021,0.0000942302,0.00226295,0.08482476,0.0009705839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869548,0.00002070458,0.003365739,0.007988148,0.0002477448,0.0002932543,0.000009567916,0.00002949264,0.001090521],"genre_scores_gemma":[0.9735567,0.00001101128,0.01023931,0.01541972,0.00006754131,0.00007342323,0.0000165122,0.00001805608,0.0005977166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2756398,"threshold_uncertainty_score":0.9998486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155522030770775,"score_gpt":0.1868126828553152,"score_spread":0.1752574625476075,"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."}}