{"id":"W7107873604","doi":"10.20383/103.01518","title":"Avalanche 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":"Glacier; National park; Snow cover; Column (typography)","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","insufficient_payload"],"category_scores_codex":[0.02263118,0.001768868,0.002551453,0.001174666,0.01583708,0.04157852,0.01774355,0.002883821,0.003048161],"category_scores_gemma":[0.03027555,0.003176402,0.0002328786,0.008514752,0.002377343,0.005423205,0.01895913,0.01331597,0.000900401],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02263875,"about_ca_system_score_gemma":0.220765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971997,"about_ca_topic_score_gemma":0.9991364,"domain_scores_codex":[0.9446815,0.01419916,0.004799422,0.009130185,0.02182683,0.005362962],"domain_scores_gemma":[0.9618611,0.005135966,0.001886798,0.01398456,0.0148646,0.002266949],"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":[0.0004737441,0.001388104,0.001495308,0.002324468,0.002540041,0.008370277,0.000009478834,0.00004981167,0.0008168992,0.000003521021,0.9821798,0.0003485896],"study_design_scores_gemma":[0.002638491,0.0001796876,0.006268636,0.003908108,0.0004596829,0.001232491,0.0003022629,0.006076352,0.0001191279,0.00002290955,0.9762257,0.002566546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006696807,0.005261628,0.000009353612,0.0003555853,0.0056853,0.005208933,0.9798682,0.0002194142,0.002721858],"genre_scores_gemma":[0.0006421332,0.002605238,0.0002278434,0.0006937917,0.00342049,0.0008418316,0.9358565,0.0003180807,0.05539414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1981263,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087382855323145,"score_gpt":0.3635276937674915,"score_spread":0.254789408235177,"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."}}