{"id":"W2610685499","doi":"","title":"Linking Habitat Selection and Predation Risk to Spatial Variation in Fitness for Woodland Caribou","year":2013,"lang":"en","type":"article","venue":"Intermountain journal of sciences","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Government of Alberta; Parks Canada","funders":"","keywords":"Woodland caribou; Threatened species; Predation; Ecology; Selection (genetic algorithm); Habitat; Population; Woodland; Ungulate; Biology; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001093251,0.0001589698,0.0001402039,0.0005441064,0.0001939524,0.000425722,0.0002180817,0.0002432064,0.0004087721],"category_scores_gemma":[0.004973484,0.0001496742,0.0002059585,0.000344245,0.0004404839,0.0002594591,0.0004199963,0.000208471,0.00003807434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112777,"about_ca_system_score_gemma":0.0001995664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824151,"about_ca_topic_score_gemma":0.01993965,"domain_scores_codex":[0.9995686,0.0002633874,0.00001954088,0.00007916873,0.00003525909,0.00003392962],"domain_scores_gemma":[0.9976211,0.001415296,0.0005005717,0.0002316934,0.0001318487,0.0000994215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000502702,0.00001798137,0.9916559,0.000006106545,0.00009155935,0.00005460573,0.0002009928,0.003120574,0.001969606,0.0001529662,0.0000136006,0.002665876],"study_design_scores_gemma":[0.000003165801,0.00006811956,0.9816415,0.000002851079,0.00004005153,0.0001520834,0.0002182607,0.01691924,0.0003998313,0.0004939706,0.00005408373,0.000006827646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995477,0.00001684487,0.0003855854,0.000005588138,2.793437e-7,4.631252e-7,0.000006780813,0.000002539379,0.00003430663],"genre_scores_gemma":[0.9997457,0.000006873604,0.0002090003,0.000001607299,4.738799e-7,9.343898e-7,0.00001266144,8.132454e-7,0.00002187441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00824151,"threshold_uncertainty_score":0.01638705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008896883969133766,"score_gpt":0.2399835663320956,"score_spread":0.2310866823629619,"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."}}