{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006006155,0.0003141879,0.0004135173,0.000021163,0.0004197109,0.0003178747,0.00189871,0.0001725377,0.001209048],"category_scores_gemma":[0.00184617,0.00008792656,0.0001135587,0.0001744948,0.0000836488,0.00006112209,0.0003411526,0.0004866133,0.00001416686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160901,"about_ca_system_score_gemma":0.0002695617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1344357,"about_ca_topic_score_gemma":0.9787164,"domain_scores_codex":[0.997795,0.0002249493,0.0003723875,0.0004967691,0.0005551695,0.0005556499],"domain_scores_gemma":[0.9940165,0.005159732,0.0002450287,0.0002819131,0.000222821,0.00007396191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001476124,0.0000157134,0.00007824738,0.0001371209,0.00001704874,0.000007511062,0.00009900254,0.0001021556,0.000002408619,0.000001758515,0.9984141,0.0009773179],"study_design_scores_gemma":[0.0002795983,0.0001424057,0.003328352,0.001210158,0.00001982629,0.00001224027,0.0004605458,0.01462291,0.000002525073,0.00004742376,0.9796461,0.0002279462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001219975,0.001050285,0.00000773278,0.006264549,0.0000524799,0.00210704,0.9892847,0.000008425824,0.000004789635],"genre_scores_gemma":[0.03877662,0.00005525217,0.000002304641,0.001649511,0.000146352,0.001107619,0.9581566,0.000003343768,0.0001024014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8442807,"threshold_uncertainty_score":0.999704,"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."}}