{"id":"W924521711","doi":"","title":"Habitat use by black-tailed deer in relation to rate of forage intake.","year":2001,"lang":"en","type":"article","venue":"Alces","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forage; Habitat; Ecology; Geography; Biology; Fishery; Agroforestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001068294,0.00004045176,0.00006255053,0.00001854532,0.00004398865,0.000003832869,0.00006064902,0.00003305362,0.0003071692],"category_scores_gemma":[0.00004902564,0.00003489905,0.00001349773,0.0001230188,0.00009780819,0.0001708333,0.00008373226,0.00003259475,0.0003926305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003025109,"about_ca_system_score_gemma":8.733359e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002355889,"about_ca_topic_score_gemma":0.005072327,"domain_scores_codex":[0.9996681,0.00002546332,0.00007226247,0.00009974925,0.00004158944,0.00009284882],"domain_scores_gemma":[0.999837,0.00006215675,0.00002701508,0.00005225831,0.000002945275,0.00001863955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002157722,0.00002581585,0.9823452,7.897747e-7,0.000004302184,0.000003821177,0.0005966475,0.0001191015,0.001858633,0.000008766629,0.01481499,0.0002003177],"study_design_scores_gemma":[0.0001426918,0.00005118089,0.9925563,0.000002881618,0.000004301496,2.645651e-7,0.0001862417,0.00002585275,0.0009062614,0.0001250073,0.005953348,0.00004563951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966375,0.00001067685,0.00002047051,0.0008813036,0.00002702074,0.0000816165,0.000003929715,0.000006064726,0.002331465],"genre_scores_gemma":[0.997975,0.00003544335,0.0001754082,0.0003831815,0.000002489208,0.000001782586,0.000003238343,0.000001166501,0.00142228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021109,"threshold_uncertainty_score":0.5046601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155618185556806,"score_gpt":0.2110931320083133,"score_spread":0.1955313134526327,"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."}}