{"id":"W2414812381","doi":"10.1111/1365-2656.12359","title":"REVIEW: Can habitat selection predict abundance?","year":2015,"lang":"en","type":"review","venue":"Journal of Animal Ecology","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Høgskolen i Hedmark; Alberta Conservation Association","keywords":"Abundance (ecology); Habitat; Selection (genetic algorithm); Ecology; Geography; Biology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001223376,0.001134438,0.002470234,0.002682927,0.000261426,0.001545773,0.001827109,0.001532099,0.00740971],"category_scores_gemma":[0.007445666,0.0004564777,0.001118757,0.003992234,0.0007134648,0.002444526,0.0006784969,0.001455061,0.003028536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008452797,"about_ca_system_score_gemma":0.001960015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918682,"about_ca_topic_score_gemma":0.004191624,"domain_scores_codex":[0.9995522,0.0001165884,0.00009293944,0.00009053206,0.0001243875,0.00002334407],"domain_scores_gemma":[0.9969886,0.00199221,0.0003515509,0.00006855515,0.000503275,0.00009574182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006950145,0.00002427145,0.0007566428,0.05982647,0.000559639,0.00009229354,0.00007420784,0.0007870069,0.0001708146,0.002855235,0.09249582,0.8422881],"study_design_scores_gemma":[0.00002850111,0.00007958534,0.004602196,0.03659644,0.0008232045,0.0007842313,0.0001271543,0.0003082938,0.0001247269,0.005980305,0.9504821,0.00006332166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007221006,0.9981455,0.0001007848,0.0007320744,0.0003826355,0.000005244371,0.00008229011,0.000007253421,0.0004721555],"genre_scores_gemma":[0.0008610552,0.9981641,0.0001101408,0.000269337,0.000300642,0.000006270232,0.00008272655,0.00000206097,0.0002036367],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00740971,"threshold_uncertainty_score":0.02478796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739632181260353,"score_gpt":0.2993913971602165,"score_spread":0.271995075347613,"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."}}