{"id":"W3038646874","doi":"10.1139/facets-2019-0019","title":"Spatial segregation and habitat partitioning of bobcat and Canada lynx","year":2020,"lang":"en","type":"article","venue":"FACETS","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"","keywords":"Generalist and specialist species; Occupancy; Sympatry; Boreal; Habitat; Sympatric speciation; Ecology; Geography; Taiga; Range (aeronautics); Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00002804118,0.00002827569,0.00004006283,0.000002391101,0.00004651998,0.000003598169,0.00001760428,0.00001777022,0.0001216694],"category_scores_gemma":[0.00003237323,0.00002846822,0.000003023195,0.00002254206,0.00004638844,0.00006641414,0.00002781166,0.00002472056,0.000005844675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001468569,"about_ca_system_score_gemma":0.00001393701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09759837,"about_ca_topic_score_gemma":0.5441283,"domain_scores_codex":[0.9997517,0.00001328206,0.00005637374,0.00007787004,0.00005288603,0.00004789116],"domain_scores_gemma":[0.999894,0.00001662577,0.0000274051,0.00002406456,0.000002284331,0.00003562119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004310742,0.000001914923,0.9942912,0.000003665305,0.000001586674,5.82813e-7,0.0001627838,0.00005918574,0.001320755,0.00002631,0.002602685,0.00152498],"study_design_scores_gemma":[0.0001069952,0.00002405276,0.9957911,0.000002181061,0.000003345648,0.00000100039,0.00004723184,0.001404134,0.001298664,0.00009220841,0.00119755,0.00003150148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949984,0.00001619048,0.0001382188,0.004236099,0.0000251811,0.00004513761,0.000003021125,0.000004567729,0.0005331959],"genre_scores_gemma":[0.9988469,0.000004339721,0.0001422216,0.0009612885,0.00000747412,0.000002263465,0.000004523172,0.000001452181,0.00002955921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.44653,"threshold_uncertainty_score":0.9084108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007744236114762566,"score_gpt":0.1735077364303763,"score_spread":0.1657635003156137,"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."}}