{"id":"W4362559509","doi":"10.3390/su15076160","title":"A Contemporary Review on Deep Learning Models for Drought Prediction","year":2023,"lang":"en","type":"review","venue":"Sustainability","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deep learning; Artificial intelligence; Computer science; Machine learning; Field (mathematics); Artificial neural network; Convolutional neural network; Perceptron; Predictive modelling; Data 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":[0.0006929715,0.00112376,0.001110873,0.001889484,0.0002348103,0.0009180602,0.001032378,0.001187763,0.006311893],"category_scores_gemma":[0.001786419,0.0004076358,0.0009781776,0.003358603,0.0002630441,0.001652111,0.0005934459,0.00141753,0.00245935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004920705,"about_ca_system_score_gemma":0.001537379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309155,"about_ca_topic_score_gemma":0.002767884,"domain_scores_codex":[0.9997655,0.00003883839,0.0000383813,0.00004964523,0.00008874052,0.00001895556],"domain_scores_gemma":[0.9992849,0.000431578,0.00006632319,0.00002182929,0.0001698708,0.00002547633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004959612,0.00006698999,0.0003088757,0.02285043,0.0001772966,0.0001087367,0.0000536486,0.003520638,0.0009633921,0.006249301,0.05097861,0.9146725],"study_design_scores_gemma":[0.00001516256,0.0001036519,0.0008868812,0.007655568,0.0003357349,0.0003637994,0.00004495539,0.002163802,0.0006525874,0.006107552,0.9816241,0.00004625468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003207327,0.9918493,0.003293312,0.0008277029,0.0005437225,0.00001599481,0.0001662991,0.00006135534,0.002921675],"genre_scores_gemma":[0.00180331,0.9950358,0.00144387,0.0003250986,0.0002907905,0.00001477615,0.0001986384,0.000009790863,0.0008779663],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006311893,"threshold_uncertainty_score":0.02111536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05786910709894943,"score_gpt":0.3324434142700302,"score_spread":0.2745743071710808,"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."}}