{"id":"W4399648133","doi":"10.32614/cran.package.tidyhydat","title":"tidyhydat: Extract and Tidy Canadian 'Hydrometric' Data","year":2017,"lang":"en","type":"dataset","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Cartography","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":[0.0007170537,0.003636534,0.001436429,0.006353848,0.001884204,0.002520525,0.003726939,0.002378127,0.02871256],"category_scores_gemma":[0.004541846,0.001201024,0.002329924,0.01371275,0.0009200615,0.001279365,0.001855848,0.002349504,0.03258067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00644141,"about_ca_system_score_gemma":0.02145615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.881393,"about_ca_topic_score_gemma":0.9273233,"domain_scores_codex":[0.9989662,0.00005631754,0.00006597613,0.0001933164,0.00044512,0.0002730559],"domain_scores_gemma":[0.9979291,0.0001929357,0.000101016,0.0003861424,0.001107813,0.0002830245],"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":[0.0000456831,0.00001646685,0.001048137,0.0002515666,0.00004823381,0.00002487058,0.00003021932,0.001090217,0.0001818803,0.0004407513,0.9943692,0.002452714],"study_design_scores_gemma":[0.0003235056,0.00001077231,0.01012083,0.0002023229,0.00008772742,0.00005101561,0.0001371813,0.003532294,0.0009897518,0.001393255,0.9830536,0.00009769254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0002638904,0.00006128697,0.0001007122,0.00004530992,0.00002183644,0.00001112275,0.9981775,0.0008265807,0.0004917537],"genre_scores_gemma":[0.0006427946,0.00007266911,0.000377849,0.00002381214,0.0000050283,0.00002877867,0.9981711,0.0001438485,0.0005340773],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.118607,"threshold_uncertainty_score":0.238611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128721741700898,"score_gpt":0.2542916279037339,"score_spread":0.233004410486725,"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."}}