{"id":"W6948093414","doi":"10.5066/p9yr4y8n","title":"Mean annual runoff, precipitation, and evapotranspiration in the glaciated northeastern United States, 1951-80","year":2023,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evapotranspiration; Surface runoff; Streamflow; Precipitation; Hydrology (agriculture); Geological survey","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":[0.0004808476,0.0006957173,0.0005594821,0.001998766,0.0003413505,0.0008874692,0.0008959912,0.0004598128,0.01031461],"category_scores_gemma":[0.001676954,0.0003625963,0.0004858447,0.004933498,0.0001802595,0.0005956747,0.0005695245,0.000703857,0.01198622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411632,"about_ca_system_score_gemma":0.001558274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1224,"about_ca_topic_score_gemma":0.1327184,"domain_scores_codex":[0.9997231,0.00002762402,0.00004354033,0.00007291968,0.0000920117,0.00004074693],"domain_scores_gemma":[0.9991509,0.0001302172,0.0001169518,0.0001325114,0.0003945459,0.00007485149],"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":[0.00006484199,0.00003564006,0.01263706,0.0005038131,0.00005861578,0.00004371924,0.00006375658,0.001057901,0.0001825963,0.0007563855,0.9794184,0.005177344],"study_design_scores_gemma":[0.0002667151,0.00002458232,0.143879,0.0003948789,0.00004926031,0.00009993748,0.0002893906,0.001608579,0.0006447617,0.0008577873,0.8518388,0.00004628187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001065096,0.00004049267,0.0000285104,0.00003447927,0.00001059094,0.000004285585,0.9981744,0.00008410922,0.0005579341],"genre_scores_gemma":[0.002454302,0.00006397696,0.0001420568,0.00001765641,0.000004360103,0.00003104713,0.9967673,0.00001752121,0.0005017341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1224,"threshold_uncertainty_score":0.2433752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009253051944088436,"score_gpt":0.2075685488473655,"score_spread":0.1983154969032771,"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."}}