{"id":"W4386723547","doi":"10.21203/rs.3.rs-3156403/v1","title":"Evaluation of a combined index based on hydrological model for drought monitoring in central Iran","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Index (typography); Environmental science; Geography; 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":[0.001465365,0.0007367504,0.0007842675,0.001896272,0.0002891763,0.001012121,0.0007584076,0.0004864962,0.0007110148],"category_scores_gemma":[0.001453266,0.0002505931,0.0005113971,0.001547282,0.0001839229,0.001098748,0.0004960745,0.0002861772,0.0001383286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009990152,"about_ca_system_score_gemma":0.0008472254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374177,"about_ca_topic_score_gemma":0.01095808,"domain_scores_codex":[0.9993923,0.0001672524,0.00004623494,0.0001291769,0.000186399,0.00007857975],"domain_scores_gemma":[0.9991046,0.0001837641,0.00009653426,0.00006870163,0.000446812,0.00009956155],"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":[0.002428652,0.001336541,0.3225368,0.0003278784,0.001045389,0.0003864336,0.0002411204,0.4232488,0.03608517,0.001298515,0.00394786,0.2071168],"study_design_scores_gemma":[0.0001839792,0.0005816772,0.1548448,0.00001223329,0.0003428518,0.000063921,0.0002416717,0.8347279,0.007728279,0.0002816309,0.0009428781,0.00004830329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901063,0.0002227331,0.007281324,0.00008320499,0.00003970096,0.00005393952,0.0006603902,0.0002205195,0.001332025],"genre_scores_gemma":[0.9937226,0.00006684758,0.005314272,0.000006603701,0.00001851086,0.0000227524,0.0006531844,0.00001387966,0.0001813302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374177,"threshold_uncertainty_score":0.02732354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1914673083777217,"score_gpt":0.4214377580115011,"score_spread":0.2299704496337793,"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."}}