{"id":"W2995684480","doi":"10.1093/mspecies/sez019","title":"Lynx canadensis (Carnivora: Felidae)","year":2019,"lang":"en","type":"article","venue":"Mammalian Species","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Geography; Predation; Endangered species; CITES; Population; Understory; Boreal; Taiga; Snowshoe hare; Population size; Biology; Canopy; 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":[0.00009773512,0.00008945039,0.0000992335,0.00002108225,0.00009041802,0.00002261603,0.0001612459,0.00006590646,0.03784662],"category_scores_gemma":[0.00001843268,0.0000859716,0.00003718397,0.0001443146,0.00009881507,0.0001420509,0.00008671342,0.00008184865,0.0130011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216111,"about_ca_system_score_gemma":0.00001133233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138715,"about_ca_topic_score_gemma":0.004777074,"domain_scores_codex":[0.9992721,0.00002912322,0.0001120014,0.0002111371,0.0001538276,0.0002217819],"domain_scores_gemma":[0.9996497,0.00002410841,0.00004169363,0.0002212626,0.000005387865,0.00005783708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005890765,0.000009477999,0.9457294,0.000002129763,0.00000419726,0.000007049095,0.0001289551,0.00005662743,0.0007260834,0.0006907961,0.05209175,0.000547691],"study_design_scores_gemma":[0.0000916957,0.00001968793,0.7318109,0.000001753844,0.000003924928,0.00000354013,0.0001670894,0.00002786171,0.0002527872,0.0001253881,0.2674086,0.00008677256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455995,0.000008047232,0.000009069624,0.002959697,0.0002931711,0.00009745925,0.000002963528,0.00003303048,0.1509971],"genre_scores_gemma":[0.8528638,0.000002989013,0.0001525175,0.001416389,0.00005935827,0.000005317376,0.00000560617,0.000007167667,0.1454868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2153169,"threshold_uncertainty_score":0.9877674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008190203005554111,"score_gpt":0.1838369682060242,"score_spread":0.1756467652004701,"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."}}