{"id":"W1882732971","doi":"10.1007/s10661-015-4806-x","title":"A new inventory for middle east dust source points","year":2015,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Dust storm; Storm; Moderate-resolution imaging spectroradiometer; Environmental science; Middle East; Mineral dust; Spectroradiometer; Climatology; High resolution; Meteorology; Atmospheric sciences; Physical geography; Geography; Satellite; Geology; Remote sensing; Aerosol; Reflectivity; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800729,0.0001935567,0.0001517185,0.000002103656,0.0001656478,0.00004682499,0.0001406331,0.00006503265,0.0002861987],"category_scores_gemma":[0.00000565542,0.0001836678,0.00005434863,0.00004287176,0.0001001633,0.0001609667,0.000254772,0.0001268411,0.0001020432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004132635,"about_ca_system_score_gemma":0.00001803734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001606811,"about_ca_topic_score_gemma":0.000002073155,"domain_scores_codex":[0.9987555,0.00002704376,0.0001801391,0.0003683601,0.000348134,0.0003208825],"domain_scores_gemma":[0.9992824,0.00001634992,0.0000748757,0.000189917,0.000001041197,0.0004353834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002638586,0.0001520951,0.9411935,0.000006879666,0.00002272074,0.000003849616,0.001119167,0.000394168,0.003298914,0.00002697727,0.003559145,0.0501962],"study_design_scores_gemma":[0.004057531,0.0009517177,0.6961259,0.00008288322,0.00009668261,0.00003018319,0.01336383,0.002978768,0.002957124,0.0009718839,0.2773066,0.001076909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987704,0.0002131448,0.008324307,0.0002426305,0.0004617073,0.000272937,0.000004676023,0.00004407368,0.00273256],"genre_scores_gemma":[0.9615919,0.00003146908,0.03094452,0.00005119638,0.0003469958,0.00005014322,0.000006278667,0.00002993789,0.006947571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2737475,"threshold_uncertainty_score":0.7489757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852265911923125,"score_gpt":0.2567385484678232,"score_spread":0.218215889348592,"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."}}