{"id":"W1877122377","doi":"10.1139/cjz-2013-0076","title":"On the adaptive benefits of mammal migration","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Mammal; Predation; Ecology; Parasitism; Taxon","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009702145,0.0003287381,0.0003066851,0.0007168791,0.0005555814,0.001174587,0.0004965371,0.0007043674,0.004065802],"category_scores_gemma":[0.00225656,0.0001017012,0.0001744279,0.0008080786,0.001723632,0.0009541906,0.001009124,0.0006217557,0.0003419436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004893799,"about_ca_system_score_gemma":0.0002935007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299725,"about_ca_topic_score_gemma":0.005643008,"domain_scores_codex":[0.9997444,0.00008810654,0.00001494289,0.00004572494,0.00006510623,0.00004184089],"domain_scores_gemma":[0.99937,0.0002763552,0.0001248386,0.00003683313,0.000110929,0.00008100664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003996821,0.00009246457,0.1621041,0.00198106,0.0005196831,0.001366239,0.002146158,0.005413343,0.01349454,0.09338605,0.006874288,0.7122224],"study_design_scores_gemma":[0.00002547197,0.0003272954,0.788798,0.0009635044,0.0002646655,0.001713833,0.003951078,0.001538545,0.001121182,0.1167715,0.08445476,0.00007020793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7137305,0.1390241,0.007646671,0.03040901,0.0007296992,0.00003742882,0.0008013978,0.00009087542,0.1075304],"genre_scores_gemma":[0.9424873,0.0488181,0.002474739,0.001852015,0.00107532,0.00001600962,0.0002359272,0.0000204694,0.003020211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004065802,"threshold_uncertainty_score":0.01360148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225131659694386,"score_gpt":0.175000040112568,"score_spread":0.1627487235156241,"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."}}