{"id":"W4405193417","doi":"10.70645/3078-3437.1013","title":"Decadal Climate and Landform Variables Analysis in Iraq Using Remote Sensing Datasets","year":2024,"lang":"en","type":"article","venue":"AUIQ technical engineering science.","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Landform; Remote sensing; Climatology; Environmental science; Geography; Computer science; Physical geography; Geology; Cartography","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":[0.001012357,0.0001743157,0.000209086,0.0003040038,0.0001246822,0.0002307575,0.0002637097,0.0001016055,0.00002391819],"category_scores_gemma":[0.0001626889,0.0001369862,0.00004961376,0.004122737,0.0002883748,0.0004401928,0.0004124793,0.0002937509,0.00001375867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525019,"about_ca_system_score_gemma":0.00001998532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004179817,"about_ca_topic_score_gemma":0.0001562743,"domain_scores_codex":[0.9981551,0.00001104866,0.0002519065,0.0005998572,0.0004551637,0.0005268776],"domain_scores_gemma":[0.9994284,0.0000888297,0.00002673393,0.0003102955,0.000005780895,0.0001399689],"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":[0.000005039166,0.00001651889,0.001983066,0.00005381275,0.00003357212,0.0002029071,0.0001432509,0.4977399,0.4686058,0.0004937871,0.0002084161,0.03051393],"study_design_scores_gemma":[0.00005143109,0.00001091697,0.03244605,0.00008671534,0.00006476873,0.0001417437,0.000008903031,0.9642879,0.001637931,0.0001125779,0.000927722,0.0002233061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387548,0.0001153092,0.05891396,0.000227914,0.0002509014,0.0001794207,0.00002464629,0.0004121836,0.001120883],"genre_scores_gemma":[0.8825501,0.00002372145,0.1173413,0.00002983799,0.00002519897,8.054717e-8,0.000009873635,0.00001137283,0.00000844686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4669679,"threshold_uncertainty_score":0.5586134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006627370386824032,"score_gpt":0.2369235552711564,"score_spread":0.2302961848843324,"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."}}