{"id":"W599849149","doi":"","title":"Identifying Suitable Canada Lynx (Lynx canadensis) Habitat in Maine, New Hampshire, and Vermont","year":2015,"lang":"en","type":"article","venue":"Digital Commons - Colby (Colby College)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Colby College","keywords":"Snowshoe hare; Threatened species; Geography; Taiga; Range (aeronautics); Ecology; Boreal; Habitat; Montane ecology; Snow; Population; Predation; Forestry; Biology; Archaeology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004159347,0.0001918079,0.0001759719,0.001196119,0.001477155,0.0008467214,0.0003742777,0.0001771595,0.001678313],"category_scores_gemma":[0.0009636355,0.0001549057,0.0001627417,0.001094083,0.0003528168,0.0003348412,0.0007514445,0.000134887,0.0001678253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007395792,"about_ca_system_score_gemma":0.005071688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9336379,"about_ca_topic_score_gemma":0.9915866,"domain_scores_codex":[0.9997529,0.00004574749,0.00001083328,0.00005991276,0.00005782346,0.00007273828],"domain_scores_gemma":[0.9994826,0.0001072981,0.00009032895,0.0000166153,0.0001555274,0.0001476618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007187933,0.00002843139,0.9759364,0.00004415987,0.00004569268,0.0002641025,0.001507047,0.002316119,0.001179496,0.0003077394,0.002793484,0.01550548],"study_design_scores_gemma":[0.000008224909,0.00002941546,0.989459,0.00006046445,0.00001888293,0.00006762804,0.003462749,0.003860114,0.0002278814,0.00007689682,0.002719523,0.000009200312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951313,0.0002302205,0.0002374532,0.00007316953,0.000004257563,0.00003772663,0.001570183,0.00001156497,0.002704117],"genre_scores_gemma":[0.9963014,0.0002274518,0.001111434,0.00003337022,0.000002321784,0.00003309377,0.001161587,0.000006025387,0.001123258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9336379,"threshold_uncertainty_score":0.1335059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162364238696694,"score_gpt":0.2118788095290275,"score_spread":0.1902551671420605,"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."}}