{"id":"W7107858923","doi":"10.20383/103.01521","title":"Rogers Pass historical weather station datasets, Glacier National Park, British Columbia, Canada.","year":2025,"lang":"","type":"dataset","venue":"Federated Research Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather station; Glacier; Automatic weather station; National weather service; Surface weather observation","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":[0.0007552106,0.001512853,0.001220969,0.004378471,0.001846748,0.00239082,0.002408811,0.0007900636,0.03906095],"category_scores_gemma":[0.005090051,0.0005405163,0.0005942833,0.01298473,0.0004798048,0.001064894,0.001100867,0.001450536,0.04851453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007848741,"about_ca_system_score_gemma":0.01679683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8803204,"about_ca_topic_score_gemma":0.9420431,"domain_scores_codex":[0.9990901,0.00006025751,0.00008347932,0.0002169646,0.0003860155,0.0001632632],"domain_scores_gemma":[0.9951118,0.0004042166,0.0001950213,0.0005949031,0.003292724,0.0004013629],"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":[0.0000246294,0.000008751033,0.0008030178,0.0001747803,0.00001093457,0.00001371608,0.00003030792,0.0001513579,0.00005418993,0.0002121015,0.9961458,0.002370444],"study_design_scores_gemma":[0.00005485983,0.00000607607,0.01424195,0.0002603606,0.00002286159,0.00003275933,0.0002113683,0.0005972704,0.0003378888,0.0004373642,0.9837587,0.00003852961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000151242,0.00004210441,0.00004582239,0.00003642992,0.0000133384,0.000008477406,0.9985709,0.0002181447,0.0009134381],"genre_scores_gemma":[0.0004086534,0.00005326918,0.0002216964,0.00001147734,0.000003339748,0.00002812544,0.9979852,0.00005826238,0.001229979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1196796,"threshold_uncertainty_score":0.2407688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06783296567665965,"score_gpt":0.3455172110606703,"score_spread":0.2776842453840107,"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."}}