{"id":"W6941170516","doi":"10.13021/jssr2023.4003","title":"Improving Accuracy in PM2.5 Interpolation Using AI and ML","year":2023,"lang":"en","type":"article","venue":"George Mason University","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpolation (computer graphics); Multivariate interpolation; Weighting; Mean squared error; Grid; Inverse distance weighting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004593739,0.0007498597,0.0007397577,0.001812379,0.000527216,0.001440248,0.001220818,0.0006222705,0.001454679],"category_scores_gemma":[0.01535245,0.0003931494,0.0007874212,0.00195987,0.0003433944,0.001423629,0.001049725,0.001006868,0.0006926859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006683522,"about_ca_system_score_gemma":0.0008979941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191607,"about_ca_topic_score_gemma":0.01990267,"domain_scores_codex":[0.9985517,0.0004979559,0.0001508892,0.0003253035,0.000382793,0.00009134335],"domain_scores_gemma":[0.9935752,0.003905116,0.0003938936,0.0008600782,0.001198167,0.00006754096],"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":[0.0005977575,0.0002479718,0.05818959,0.0004540178,0.0002278576,0.00009050209,0.0004878342,0.5436559,0.01998136,0.003372515,0.001753324,0.3709413],"study_design_scores_gemma":[0.00001906961,0.00005752202,0.009914892,0.00003363312,0.00002492104,0.00002868958,0.00007934149,0.9797872,0.007301847,0.00103722,0.001678971,0.00003662398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2957614,0.0007287052,0.6889352,0.0003378196,0.0001333719,0.0001568358,0.0009198231,0.007796962,0.005229943],"genre_scores_gemma":[0.6911978,0.0003323944,0.3064093,0.00007664414,0.00002302337,0.00007594203,0.0006700234,0.0002685474,0.0009464448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02191607,"threshold_uncertainty_score":0.04357702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154005034622334,"score_gpt":0.2078299860967463,"score_spread":0.1924294826345129,"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."}}