{"id":"W2802888411","doi":"10.1080/10962247.2018.1469555","title":"Analysis of the number of flux chamber samples and study area size on the accuracy of emission rate measurements","year":2018,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Monte Carlo method; Flux (metallurgy); Sampling (signal processing); Standard deviation; Environmental science; Population; Statistics; Accuracy and precision; Mathematics; Physics; Materials science; Optics","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":[0.002058887,0.0001221134,0.0002961038,0.00003897929,0.0001830021,0.00001225177,0.000342899,0.00002820978,0.0002898836],"category_scores_gemma":[0.0005828942,0.00005503711,0.0001982793,0.0004919243,0.0001245637,0.0001448995,0.0005607447,0.00009418969,0.000003633167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222344,"about_ca_system_score_gemma":0.000003629528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008063208,"about_ca_topic_score_gemma":0.00003955446,"domain_scores_codex":[0.9977593,0.0003824418,0.0005089851,0.0001150561,0.001099354,0.0001348139],"domain_scores_gemma":[0.9973269,0.0003564662,0.001925072,0.0003268333,0.00004008116,0.00002469727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005739375,0.0002413109,0.9861062,0.000007139784,0.00171436,2.052778e-7,0.0015355,0.001177584,0.006756225,0.000002704616,0.0019658,0.0004355304],"study_design_scores_gemma":[0.0005098717,0.0001031407,0.9841283,0.00005458829,0.001292032,3.227413e-7,0.001633828,0.0001362681,0.01190745,0.00009942678,0.00008035123,0.00005440507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947312,0.000007632179,0.000007987458,0.001307073,0.0001178783,0.0003424235,0.000007217497,0.000001480703,0.003477056],"genre_scores_gemma":[0.9985238,0.00003062065,0.00003475504,0.0001752402,0.00002197072,0.000002561807,3.086377e-7,0.000006679096,0.001204109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005151229,"threshold_uncertainty_score":0.3174022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918055255114897,"score_gpt":0.2649099544586332,"score_spread":0.2357294019074842,"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."}}