{"id":"W3205948715","doi":"","title":"The Impact of Snow Storage on Summer Low Water Flow in Southern Quebec","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Environmental science; Water storage; Oceanography; Meteorology; Geography; Climatology; Geology","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":[0.0003656127,0.0002635161,0.0003727715,0.000747651,0.002051047,0.001734175,0.0009932659,0.000589522,0.005669029],"category_scores_gemma":[0.001395801,0.0002009074,0.0003601191,0.001554654,0.0007466737,0.0006277813,0.000568387,0.0006139252,0.0002708459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0263173,"about_ca_system_score_gemma":0.01588516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942163,"about_ca_topic_score_gemma":0.9971244,"domain_scores_codex":[0.9997297,0.00003778086,0.000009220304,0.00003768055,0.00004488275,0.0001406847],"domain_scores_gemma":[0.9986792,0.0002184319,0.0001644244,0.00003441285,0.0005286974,0.0003748482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008040513,0.0001438047,0.9696432,0.00007003739,0.00016806,0.0005246322,0.001260547,0.004674851,0.002799781,0.0006699098,0.004991228,0.01424998],"study_design_scores_gemma":[0.00001458076,0.00001548025,0.9962263,0.00001466396,0.00001477722,0.00001425278,0.0008020299,0.001694862,0.00009434409,0.00002984352,0.001069924,0.000008972861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935913,0.0002063244,0.00005348181,0.0007023679,0.00001544714,0.000008964803,0.002318655,0.00001926473,0.003084293],"genre_scores_gemma":[0.9977496,0.0000876817,0.00003930358,0.00006371592,0.000004986336,0.000004300154,0.0005291907,0.000007574088,0.001513556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0263173,"threshold_uncertainty_score":0.1909463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586587314545313,"score_gpt":0.2312234568229932,"score_spread":0.2053575836775401,"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."}}