{"id":"W4385351224","doi":"10.1002/ecs2.4629","title":"Canada lynx foraging strategies: Facultative specialists become obligate generalists toward the distribution edge","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facultative; Predation; Obligate; Generalist and specialist species; Foraging; Snowshoe hare; Biology; Ecology; Predator; Range (aeronautics); Optimal foraging theory; Habitat","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002805786,0.0001729461,0.0001860687,0.000007885259,0.0003147573,0.0000945373,0.0004684373,0.00005690661,0.006414923],"category_scores_gemma":[0.000053573,0.0001317452,0.00007189019,0.0006691214,0.0001520503,0.00024798,0.0002667291,0.0001597556,0.002022815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008463317,"about_ca_system_score_gemma":0.000163338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3661742,"about_ca_topic_score_gemma":0.8527345,"domain_scores_codex":[0.9984916,0.0001001081,0.000255074,0.0003450513,0.0003245179,0.0004836052],"domain_scores_gemma":[0.9994283,0.00008911472,0.0001140364,0.0002664944,0.00001820865,0.00008386133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000006750702,0.00001898258,0.01083602,0.000008457877,0.00006090702,0.00008941742,0.001316459,0.03173065,0.0001970691,0.00155258,0.9509094,0.00327332],"study_design_scores_gemma":[0.0003387006,0.00003635687,0.5589952,0.000008718958,0.00004645661,0.000009253332,0.005228026,0.0108835,0.0007712697,0.003881628,0.4193462,0.000454673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607087,0.00002599388,0.000418746,0.004553979,0.0003949942,0.0002497324,0.0001717519,0.00007880974,0.03339728],"genre_scores_gemma":[0.9945219,0.00002380093,0.00009825419,0.0005934908,0.000145789,0.00004641159,0.0002529787,0.00001610266,0.00430123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5481592,"threshold_uncertainty_score":0.9987542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534334833390961,"score_gpt":0.2457862593250031,"score_spread":0.2304429109910935,"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."}}