{"id":"W6977101957","doi":"10.6073/pasta/168ef38e4b2f7efe90ba35ed15bebb25","title":"McMurdo Dry Valleys Canada Glacier Meteorological Station Measurements","year":2018,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glacier; Term (time); Automatic weather station; Weather station","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":[0.0005370856,0.001284425,0.0008309378,0.002780314,0.001184717,0.001389597,0.002128202,0.0008040449,0.01505351],"category_scores_gemma":[0.002298238,0.0004303318,0.0006205991,0.007175534,0.0003780021,0.0004578562,0.0009897443,0.001127573,0.01217313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005895058,"about_ca_system_score_gemma":0.01322739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8871226,"about_ca_topic_score_gemma":0.9477782,"domain_scores_codex":[0.9994678,0.00002997393,0.00003449123,0.0001233908,0.0002102448,0.000134104],"domain_scores_gemma":[0.9984297,0.00009934052,0.0001300532,0.0001726491,0.000974499,0.0001935946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004633824,0.00001353301,0.004949557,0.0001596341,0.00002759241,0.00002978124,0.00003521804,0.0002779266,0.00006496866,0.000418021,0.9916219,0.002355546],"study_design_scores_gemma":[0.0001159453,0.000007173395,0.04735608,0.000255901,0.00003157477,0.00003427435,0.0001975286,0.0007314718,0.0003229878,0.0004921479,0.9504226,0.00003221159],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003058028,0.00003518619,0.000033029,0.0000411049,0.000009471157,0.000007115609,0.998828,0.00005171226,0.0006885434],"genre_scores_gemma":[0.001260459,0.0000663693,0.0001739676,0.00002664335,0.000004858389,0.00004051043,0.9970771,0.00002087075,0.001329163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8871226,"threshold_uncertainty_score":0.2270843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330683974309054,"score_gpt":0.3019623892848873,"score_spread":0.168893991853982,"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."}}