{"id":"W2895760486","doi":"10.5539/jas.v10n11p311","title":"Influence of Climatic Seasonality on a Survey of Land Use and Cover in the Semi-arid Region","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arid; Land cover; Deciduous; Vegetation (pathology); Watershed; Microclimate; Land use; Seasonality; Environmental science; Physical geography; Dry season; Geography; Hydrology (agriculture); Ecology; Geology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654418,0.00008147651,0.0001356765,0.0005038406,0.0001547981,0.0002984048,0.00009295331,0.00009158967,0.0005786871],"category_scores_gemma":[0.0009048432,0.00007359941,0.0001373827,0.0008258102,0.0001853703,0.0001358374,0.0001952682,0.00006948128,0.00007275047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947604,"about_ca_system_score_gemma":0.0002128804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403838,"about_ca_topic_score_gemma":0.03662942,"domain_scores_codex":[0.9997883,0.00006744478,0.00001998871,0.00003963944,0.00005178499,0.00003280667],"domain_scores_gemma":[0.999541,0.0001218895,0.0001620978,0.00003423643,0.00008336834,0.00005745291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003037448,0.00001129871,0.9896277,0.00002542,0.00002422958,0.00007872831,0.0005059743,0.0001948738,0.003053489,0.00004766523,0.00007140361,0.006328852],"study_design_scores_gemma":[3.874019e-7,0.000008201982,0.9992034,0.000002494495,0.000003680695,0.00003692802,0.0002204605,0.0001667809,0.00009117539,0.000007277928,0.0002579943,0.00000121958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989636,0.00007424572,0.00009471833,0.00001489383,0.000001348082,0.000002805582,0.0001581331,0.00000317548,0.0006871126],"genre_scores_gemma":[0.9996025,0.00005715313,0.0001127014,0.00000361295,0.000001477321,0.000003019983,0.0001380655,0.00000123951,0.00008029694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403838,"threshold_uncertainty_score":0.02791333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096551225220197,"score_gpt":0.2241396910185694,"score_spread":0.2031741787663674,"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."}}