{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.01587919,0.001739575,0.002534783,0.001429161,0.01279968,0.02537326,0.01265788,0.002585328,0.002963049],"category_scores_gemma":[0.01795191,0.00301954,0.0002697139,0.006663381,0.001704236,0.004083293,0.01083255,0.01140726,0.0006235816],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.09624269,"about_ca_system_score_gemma":0.1848276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974656,"about_ca_topic_score_gemma":0.9980049,"domain_scores_codex":[0.9462759,0.01406574,0.004526357,0.008566117,0.0214678,0.005098099],"domain_scores_gemma":[0.969834,0.004494179,0.001786291,0.01037903,0.0108025,0.002704023],"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":[0.0007285366,0.001814291,0.0005129038,0.001330403,0.002591841,0.0109905,0.00001763558,0.00005518093,0.0004805612,0.000003087552,0.9809726,0.0005024094],"study_design_scores_gemma":[0.002748476,0.0002557854,0.001067185,0.001920082,0.0005104034,0.001041429,0.0003283414,0.003405866,0.00004990408,0.00001743806,0.9861268,0.002528328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002366916,0.006008911,0.00002937846,0.0005529954,0.006541129,0.004355896,0.979746,0.0001997148,0.002329228],"genre_scores_gemma":[0.0008460468,0.00174348,0.0001714394,0.0003729312,0.002391823,0.0008325838,0.9242775,0.0003628676,0.06900126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08858489,"threshold_uncertainty_score":0.999535,"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."}}