{"id":"W2793550748","doi":"10.1139/cjz-2017-0259","title":"Critical snow density threshold for Dall’s sheep (<i>Ovis</i> <i>dalli</i> <i>dalli</i>)","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Snowpack; Snow; Ovis; Physical geography; Population; Snowmelt; Population density; Environmental science; Ecology; Hydrology (agriculture); Biology; Atmospheric sciences; Geography; Geology; Geomorphology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003586705,0.0001293571,0.0003371602,0.0004377185,0.0004510997,0.0007195529,0.000256466,0.0003491667,0.001440839],"category_scores_gemma":[0.001036434,0.0001630631,0.00028607,0.0001607594,0.0004277737,0.0003345381,0.0002791473,0.000211909,0.000138097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264288,"about_ca_system_score_gemma":0.000525969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03236867,"about_ca_topic_score_gemma":0.04894399,"domain_scores_codex":[0.9998971,0.0000146754,0.000009400802,0.00003728184,0.00001299046,0.00002854869],"domain_scores_gemma":[0.9992508,0.0001815448,0.0002801695,0.0000298809,0.00007566919,0.0001818642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002229016,0.00004825227,0.985343,0.00004206808,0.00004092162,0.0003179967,0.0003350179,0.001073506,0.009376726,0.0002679668,0.0003769155,0.002554707],"study_design_scores_gemma":[0.000003474173,0.00005457587,0.9970455,0.000009732463,0.00001363948,0.0001729169,0.0003792553,0.001371508,0.000460394,0.000229746,0.0002531628,0.000006128372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990657,0.00006956705,0.0001713846,0.0000242505,0.000002501488,0.000003789319,0.00009956832,0.000008667627,0.0005546504],"genre_scores_gemma":[0.9996241,0.00002593222,0.0001370338,0.000006876401,0.000001502489,0.000003600295,0.0001075386,0.000002209418,0.00009119578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03236867,"threshold_uncertainty_score":0.0643605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455004360637771,"score_gpt":0.2378637179123248,"score_spread":0.2133136743059471,"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."}}