{"id":"W6942125000","doi":"10.1371/journal.pwat.0000148.s001","title":"Snowfall events from 2017–2019.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowmelt; Surface runoff; Hydrology (agriculture); Groundwater; Wetland; Surface water; Snow; Salinity; Saltwater intrusion","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":[0.0003076043,0.0004256027,0.0002468638,0.001338514,0.0006827127,0.0009627471,0.0003527573,0.0003765716,0.02457415],"category_scores_gemma":[0.000851452,0.00009736911,0.0003072541,0.001456284,0.0001547657,0.000556206,0.001041156,0.0004180516,0.009446863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006848798,"about_ca_system_score_gemma":0.001163259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03772359,"about_ca_topic_score_gemma":0.1062814,"domain_scores_codex":[0.9997985,0.00001788707,0.00002316352,0.00004246999,0.00006779369,0.00005025063],"domain_scores_gemma":[0.999498,0.00002913016,0.0001084189,0.00003316558,0.0002009858,0.0001302408],"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":[0.000664968,0.0001056341,0.229652,0.0006239662,0.0001475764,0.0009180225,0.0007646559,0.001083922,0.001139398,0.002407244,0.6623235,0.1001691],"study_design_scores_gemma":[0.00005020658,0.00006336739,0.3475867,0.0002293899,0.00003670775,0.000239887,0.001047553,0.001869457,0.0005502297,0.001012158,0.6472922,0.00002219942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1695256,0.00151155,0.001556096,0.002584113,0.002672844,0.0002703105,0.7124614,0.00120773,0.1082104],"genre_scores_gemma":[0.363858,0.001452777,0.001668794,0.001166017,0.00145064,0.0003310946,0.5683517,0.0002578042,0.06146318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03772359,"threshold_uncertainty_score":0.08220875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04415985805992764,"score_gpt":0.2495808751664532,"score_spread":0.2054210171065256,"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."}}