{"id":"W4389149783","doi":"10.20944/preprints202311.1770.v1","title":"A Review of User Perceptions of Drought Indices and Indicators Used in the Diverse Climates of North America","year":2023,"lang":"en","type":"review","venue":"Preprints.org","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada","funders":"","keywords":"Temperate climate; Tundra; Geography; Agriculture; Climate change; Climatology; Precipitation; Environmental science; Physical geography; Ecosystem; Environmental resource management; Ecology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003726551,0.000334817,0.0008449921,0.002968601,0.0004840617,0.001453309,0.0004129967,0.0004737882,0.001448323],"category_scores_gemma":[0.01213986,0.0002246343,0.0007946448,0.00473186,0.0003813306,0.002029436,0.0007140988,0.0005452517,0.0002577664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007896323,"about_ca_system_score_gemma":0.00211063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009182104,"about_ca_topic_score_gemma":0.02033024,"domain_scores_codex":[0.9978688,0.0008757155,0.0004432335,0.0001768851,0.0005339309,0.0001014261],"domain_scores_gemma":[0.987453,0.0081635,0.001110799,0.0001301482,0.00284755,0.0002951259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003710668,0.0001008696,0.04737721,0.1079284,0.0005015715,0.0005650604,0.02500211,0.0002699367,0.0032172,0.000575878,0.0233321,0.7907586],"study_design_scores_gemma":[0.00005332975,0.0007368986,0.3932566,0.1179364,0.001739025,0.003727841,0.0589464,0.0004828677,0.001579328,0.0006170841,0.4207063,0.0002178666],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1129622,0.8697407,0.001688607,0.003940042,0.0004242212,0.0001371796,0.001809601,0.0001014354,0.009196029],"genre_scores_gemma":[0.2350618,0.7573122,0.002674681,0.002271447,0.0001428602,0.000264512,0.001184516,0.00003184408,0.001056193],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009182104,"threshold_uncertainty_score":0.01970816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09059512015701467,"score_gpt":0.3662904273606748,"score_spread":0.2756953072036601,"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."}}