{"id":"W6960462264","doi":"10.1371/journal.pone.0099938.t004","title":"Coefficients (), standard error (SE) and 95% confidence intervals (CI) for the complete SSF model for the woodland caribou in the Côte-Nord region, Québec (Canada), in winter (values are ).","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Woodland caribou; Confidence interval; Standard error; Woodland; Interval (graph theory); Standard deviation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002799927,0.001574435,0.001697933,0.003486177,0.0008987436,0.00146455,0.003070932,0.001260676,0.02519639],"category_scores_gemma":[0.0130778,0.0005253442,0.001700659,0.0073949,0.0005973826,0.0008724265,0.001092577,0.001956093,0.01206337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005159427,"about_ca_system_score_gemma":0.006938727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7924988,"about_ca_topic_score_gemma":0.8503184,"domain_scores_codex":[0.9987979,0.0002141878,0.0001309373,0.0004669417,0.000236877,0.0001531653],"domain_scores_gemma":[0.9945825,0.001915579,0.0004810784,0.0007994114,0.001985312,0.0002361093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002164524,0.00004325809,0.04131724,0.001092323,0.0004750376,0.00006643938,0.00006928013,0.004149989,0.0001212827,0.0007533678,0.9447247,0.006970551],"study_design_scores_gemma":[0.001036568,0.00004396446,0.2066588,0.001592256,0.0007466802,0.0001961995,0.0007052222,0.007212847,0.0005369911,0.002174804,0.7789401,0.0001556298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001740631,0.0002639634,0.0001986861,0.00008073187,0.00003070789,0.000010716,0.9970731,0.000172908,0.0004284841],"genre_scores_gemma":[0.00932943,0.0002280189,0.0006478684,0.00005950328,0.00001401408,0.00009060541,0.9882042,0.00009978237,0.001326445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2075012,"threshold_uncertainty_score":0.4174465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1502163380399552,"score_gpt":0.316231404038808,"score_spread":0.1660150659988528,"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."}}