{"id":"W1549409841","doi":"10.1002/jwmg.859","title":"Mid‐day temperature variation influences seasonal habitat selection by moose","year":2015,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Natural Resources and Forestry","funders":"Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Habitat; Seasonality; Selection (genetic algorithm); Ecology; Variation (astronomy); Geography; Biology; Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.001080115,0.0001236732,0.0001450956,0.00006877815,0.0001178985,0.00005905262,0.0002143149,0.00008701669,0.000217618],"category_scores_gemma":[0.000083185,0.0001056976,0.00006085355,0.0003058587,0.00005922667,0.0006980202,0.00007714371,0.0001973159,0.000137097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002961764,"about_ca_system_score_gemma":0.00002782011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001908705,"about_ca_topic_score_gemma":0.0000272981,"domain_scores_codex":[0.998585,0.0001518226,0.0003660994,0.000160432,0.0005542007,0.0001824077],"domain_scores_gemma":[0.9993237,0.00002980889,0.0003534566,0.00009174932,0.00005506277,0.0001461988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000678499,0.0001221152,0.5355117,0.000005784196,0.00006818097,0.00001297739,0.0002469393,0.004583542,0.0006818447,0.00009622959,0.4572496,0.001353225],"study_design_scores_gemma":[0.0008475414,0.0002570476,0.9179596,0.00002307398,0.00007809381,0.00003336461,0.0001910453,0.0005462191,0.0001002623,0.00133707,0.07847589,0.000150767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987345,0.00005809414,0.00109925,0.008533231,0.0005807679,0.000152326,0.00000193655,0.00001843273,0.002210951],"genre_scores_gemma":[0.9896087,0.00004395705,0.002452718,0.005904184,0.0002052341,0.000008914077,0.000005624507,0.000010017,0.001760628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3824479,"threshold_uncertainty_score":0.4310224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008307159965062639,"score_gpt":0.2174017879974852,"score_spread":0.2090946280324225,"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."}}