{"id":"W7107879209","doi":"10.20383/103.01523","title":"Snow profile observation 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":"Snow; Glacier; Snow cover; Snow field; National park","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":[0.0007714189,0.001761017,0.001460423,0.004240377,0.002533844,0.002264067,0.002828,0.001091912,0.02491831],"category_scores_gemma":[0.003976694,0.0006229476,0.0008225753,0.01135439,0.0006214076,0.000993956,0.001405625,0.001346695,0.03276407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123056,"about_ca_system_score_gemma":0.0231624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9232365,"about_ca_topic_score_gemma":0.966399,"domain_scores_codex":[0.9989929,0.00006774339,0.00007744452,0.0002634217,0.0004121637,0.0001863552],"domain_scores_gemma":[0.9961208,0.0002573134,0.00014116,0.0004601297,0.002604013,0.0004166155],"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":[0.00004638885,0.00001994047,0.001595798,0.0002779777,0.00002191093,0.00002277873,0.0000407406,0.0002487723,0.00011752,0.000264358,0.9939297,0.003414161],"study_design_scores_gemma":[0.0001074729,0.00001297502,0.02404102,0.000374893,0.00005161432,0.00005268204,0.0003252365,0.001380131,0.0007919262,0.0006744458,0.97212,0.00006753787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000442726,0.0001006843,0.00007031873,0.00006572403,0.00002118529,0.00001528108,0.9976397,0.0003612332,0.001283277],"genre_scores_gemma":[0.0007815346,0.00007828191,0.0002761424,0.0000199438,0.000004245632,0.00003116766,0.9973804,0.00005883213,0.001369396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07676351,"threshold_uncertainty_score":0.1544311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09672360063668534,"score_gpt":0.3582489750253837,"score_spread":0.2615253743886983,"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."}}