{"id":"W4402843740","doi":"10.21203/rs.3.rs-5052056/v1","title":"Widespread and rapid dynamics of subglacial water in the Canadian Arctic","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science and Technology Council; Environment and Climate Change Canada; European Commission","keywords":"Arctic; The arctic; Geology; Dynamics (music); Physical geography; Oceanography; Earth science; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005163414,0.000226594,0.0002872397,0.002285332,0.003880022,0.001673653,0.0006878092,0.0004294417,0.001683965],"category_scores_gemma":[0.001794758,0.0002456401,0.0001804241,0.004527452,0.00125963,0.0007948622,0.0008834684,0.0004017728,0.0001206761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02019895,"about_ca_system_score_gemma":0.02705317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956713,"about_ca_topic_score_gemma":0.9982806,"domain_scores_codex":[0.9995015,0.00002019877,0.00001586388,0.0001177069,0.0001840009,0.0001607607],"domain_scores_gemma":[0.99857,0.0001098185,0.000170509,0.00004702581,0.0009069323,0.0001956955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002685547,0.0000361794,0.9205984,0.0001897026,0.0001174303,0.0002994978,0.008163839,0.002019721,0.01034029,0.002664346,0.003753053,0.05154897],"study_design_scores_gemma":[0.000003155675,0.000004370563,0.9931129,0.00001629533,0.00001167537,0.00002858433,0.00184815,0.000411434,0.0003583487,0.0000975715,0.00409584,0.00001170924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902399,0.0008327004,0.0001850922,0.0005642971,0.00001282021,0.00001019648,0.002255043,0.00001889064,0.005881082],"genre_scores_gemma":[0.9977017,0.0004708316,0.0001802097,0.00004286059,0.000004944671,0.000003142275,0.0006329551,0.000008031001,0.000955329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02019895,"threshold_uncertainty_score":0.1465544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05687174512089353,"score_gpt":0.3136723905744198,"score_spread":0.2568006454535263,"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."}}