{"id":"W4387312470","doi":"10.21203/rs.3.rs-3345799/v1","title":"The Effect of Environmental Degradation and Climate on Dust in Khuzestan Province, Iran","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Vice Chancellor for Research and Technology, Kerman University of Medical Sciences; Iran Water Resources Management Company; University of Isfahan","keywords":"Environmental science; Climate change; Storm; Dust storm; Environmental degradation; Vegetation (pathology); Hydrology (agriculture); Spring (device); Land degradation; Physical geography; Environmental protection; Geography; Agriculture; Geology; Ecology; Oceanography; Meteorology","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":[0.0002580145,0.0001757228,0.000188703,0.000682128,0.0004922124,0.0004374689,0.0001990001,0.0001532638,0.0006203984],"category_scores_gemma":[0.000417877,0.0000788824,0.0001936802,0.0008967876,0.000296622,0.0001519465,0.0002733545,0.0001527879,0.00007317546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009963082,"about_ca_system_score_gemma":0.001218478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1091917,"about_ca_topic_score_gemma":0.144664,"domain_scores_codex":[0.9998148,0.00003395624,0.00001207682,0.00002504253,0.00005313511,0.00006101134],"domain_scores_gemma":[0.9997529,0.00004508079,0.00006055427,0.00001269253,0.00009034383,0.00003842462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000125327,0.00008073715,0.9835946,0.00005186105,0.00005528778,0.0004116055,0.0007196453,0.001066833,0.00119855,0.000109028,0.0005627215,0.01202382],"study_design_scores_gemma":[0.000003592818,0.00001991888,0.9983132,0.000003538878,0.000005847211,0.00003689062,0.0008610835,0.0002544448,0.0001161407,0.00002161424,0.0003619417,0.000001907807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992791,0.00007582289,0.00002410468,0.00005015799,0.000003403247,0.000002494223,0.0001736183,0.00000218833,0.0003890324],"genre_scores_gemma":[0.99958,0.00007246606,0.00004824046,0.000008738089,0.000004711234,0.000002288347,0.0001597595,6.896722e-7,0.0001231478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1091917,"threshold_uncertainty_score":0.2171122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614595362788541,"score_gpt":0.312279639585726,"score_spread":0.2661336859578406,"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."}}