{"id":"W3080604429","doi":"10.1002/ece3.6626","title":"Fine‐scale habitat selection by sympatric Canada lynx and bobcat","year":2020,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ministry of Natural Resources and Forestry; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Trent University; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Snowshoe hare; Sympatric speciation; Habitat; Sympatry; Range (aeronautics); Ecology; Selection (genetic algorithm); Geography; Competition (biology); Abundance (ecology); Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688317,0.000114323,0.0001836112,0.0004938791,0.0007716825,0.0005481398,0.0002088005,0.0001399628,0.001196765],"category_scores_gemma":[0.000455012,0.0001430437,0.00009818681,0.0003238407,0.0003851326,0.0002604272,0.0005657775,0.0001636675,0.0001269663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141864,"about_ca_system_score_gemma":0.0005800914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3176781,"about_ca_topic_score_gemma":0.7561743,"domain_scores_codex":[0.999853,0.00002122622,0.000006844212,0.00004556692,0.0000314002,0.00004202183],"domain_scores_gemma":[0.9997427,0.0000231184,0.00008149901,0.00001847538,0.00004471914,0.00008951981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000165547,0.00003890122,0.9715272,0.00001360281,0.00005759468,0.0001979001,0.001106681,0.000101699,0.02059852,0.0001405691,0.0003310372,0.005720656],"study_design_scores_gemma":[0.000002447778,0.000008571428,0.9990869,0.000002465461,0.000003852033,0.00006197148,0.0004439934,0.0001068432,0.00007692035,0.00001629711,0.0001870494,0.000002603023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999655,0.00003057834,0.00002178531,0.000008370223,9.155099e-7,0.000001115992,0.00003633588,0.000001122467,0.0002446392],"genre_scores_gemma":[0.9994125,0.00002215656,0.00008083629,0.00002019547,6.833707e-7,0.000003097026,0.0001033348,0.000001450296,0.0003556566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6823219,"threshold_uncertainty_score":0.631658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003283672104227522,"score_gpt":0.1601681372612898,"score_spread":0.1568844651570623,"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."}}