{"id":"W3093698868","doi":"10.1109/atsip49331.2020.9231697","title":"A review of drought monitoring using remote sensing and data mining methods","year":2020,"lang":"en","type":"review","venue":"","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Identification (biology); Computer science; Natural (archaeology); Remote sensing; Data science; Environmental science; Environmental resource management; Geography; Ecology","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":[0.001446252,0.0009584128,0.001104823,0.004744875,0.0003371853,0.001193375,0.001041996,0.0009264192,0.002981529],"category_scores_gemma":[0.002847421,0.0003884568,0.000958148,0.006352587,0.0003820329,0.001790749,0.000551713,0.001044435,0.001284474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006563181,"about_ca_system_score_gemma":0.001728007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991992,"about_ca_topic_score_gemma":0.002239264,"domain_scores_codex":[0.9993128,0.0001406072,0.0001458463,0.0001269188,0.0002407435,0.00003310162],"domain_scores_gemma":[0.9977585,0.001472219,0.0001983193,0.00005276976,0.0004596793,0.00005845711],"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":[0.00004771386,0.00007661966,0.0008162054,0.03817467,0.0001899093,0.0001827432,0.0001336175,0.001168925,0.001335937,0.005876407,0.02765712,0.9243402],"study_design_scores_gemma":[0.000008982661,0.0001130905,0.002870762,0.013168,0.0003291052,0.0008830604,0.000127131,0.0007938594,0.0008391803,0.004292544,0.9765203,0.00005401957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002939732,0.9952456,0.001710513,0.0004477727,0.0002827802,0.00002079847,0.0001106566,0.0000237076,0.001864165],"genre_scores_gemma":[0.00138563,0.9955159,0.002081199,0.0001806901,0.0003235897,0.00001764478,0.0001108871,0.000005156662,0.0003793082],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004744875,"threshold_uncertainty_score":0.009974241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792114150283778,"score_gpt":0.4530013605359365,"score_spread":0.2737899455075587,"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."}}