{"id":"W4376648705","doi":"10.1016/j.atmosres.2023.106815","title":"Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models","year":2023,"lang":"en","type":"article","venue":"Atmospheric Research","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Downscaling; Environmental science; Precipitation; Meteorology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001326965,0.0005919602,0.0004744349,0.0007992861,0.0002742637,0.0007509084,0.001131506,0.0005138441,0.001787764],"category_scores_gemma":[0.004303948,0.0005557368,0.0005584512,0.001119873,0.0001649619,0.001450338,0.0006648524,0.001517798,0.001220695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005375128,"about_ca_system_score_gemma":0.001610006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197051,"about_ca_topic_score_gemma":0.02290853,"domain_scores_codex":[0.9997285,0.00004801564,0.00003106296,0.00007215621,0.00009840919,0.0000217146],"domain_scores_gemma":[0.9979971,0.0003187875,0.0001473697,0.0003995881,0.001081013,0.00005608612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007333814,0.0002350763,0.02455029,0.0001044227,0.0001319111,0.00006738228,0.00007693104,0.7265385,0.007523412,0.003631042,0.0125961,0.2244717],"study_design_scores_gemma":[0.00001226325,0.00001172937,0.00381208,0.00001598097,0.000008197759,0.000006950166,0.00001113502,0.9883754,0.003953943,0.001216409,0.002562644,0.00001323028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1120285,0.0002508889,0.864046,0.0006995212,0.0001883772,0.0002081522,0.01104702,0.007800032,0.003731545],"genre_scores_gemma":[0.4044925,0.0002734352,0.5740691,0.0001482556,0.00005276924,0.0003460361,0.01792324,0.0005486847,0.002145964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0197051,"threshold_uncertainty_score":0.03918076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3120110152794064,"score_gpt":0.3554223140206794,"score_spread":0.04341129874127303,"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."}}