{"id":"W2897468516","doi":"10.1002/fes3.151","title":"Adaptive Neuro‐Fuzzy Inference System integrated with solar zenith angle for forecasting sub‐tropical Photosynthetically Active Radiation","year":2018,"lang":"en","type":"article","venue":"Food and Energy Security","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Southern Queensland","keywords":"Adaptive neuro fuzzy inference system; Mean squared error; Photosynthetically active radiation; Gene expression programming; Correlation coefficient; Coefficient of determination; Statistics; Mathematics; Meteorology; Computer science; Environmental science; Machine learning; Artificial intelligence; Fuzzy logic; Fuzzy control system; Physics; Botany; Photosynthesis; Biology","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":[0.00009533464,0.00017684,0.0001910519,0.00007808466,0.0002697836,0.00014206,0.0002340423,0.0001020917,0.000002405621],"category_scores_gemma":[0.0001071319,0.0001434394,0.00004184954,0.0002621404,0.0001009477,0.0003517374,0.00007038057,0.0001301266,0.000002056682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005417814,"about_ca_system_score_gemma":0.0001124554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353201,"about_ca_topic_score_gemma":0.0005282038,"domain_scores_codex":[0.9988726,0.0001007654,0.000175118,0.0004004459,0.0001738677,0.0002771864],"domain_scores_gemma":[0.9989755,0.0002657204,0.000113918,0.000220533,0.000270105,0.0001542812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001145093,0.0003010377,0.00177788,0.0001024776,0.0002429573,0.00002102869,0.008244625,0.0001092922,0.002303677,0.8875082,0.000488935,0.09775485],"study_design_scores_gemma":[0.001212901,0.004127127,0.001626803,0.000079953,0.00003253487,0.00006124887,0.000371128,0.8901411,0.08688244,0.006946239,0.00808179,0.0004367665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4350023,0.00003467375,0.5630075,0.0001443218,0.000263263,0.0001749483,0.00005497078,0.0001953396,0.001122669],"genre_scores_gemma":[0.9952278,0.000005763425,0.004338072,0.0002047012,0.0001443489,0.00004412479,0.00001452142,0.0000132422,0.00000747765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8900318,"threshold_uncertainty_score":0.584929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171863358707794,"score_gpt":0.2105447243531124,"score_spread":0.1933583884823331,"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."}}