{"id":"W4248355084","doi":"10.31223/osf.io/rzh92","title":"An agent-based model for estimating emissions reduction equivalence among leak detection and repair programs","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Equivalence (formal languages); Computer science; Flexibility (engineering); Risk analysis (engineering); Reliability engineering; Software deployment; Operations research; Environmental economics; Engineering; Business; Mathematics; Statistics; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001950814,0.0002297357,0.0001990738,0.00002299555,0.0004105862,0.00007153734,0.0001420656,0.0001437389,0.00003117534],"category_scores_gemma":[0.00006256557,0.0002014602,0.0001187722,0.00007993519,0.0001964565,0.0001758112,0.0003823203,0.0002349523,0.000004876279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054242,"about_ca_system_score_gemma":0.0000171824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002571814,"about_ca_topic_score_gemma":0.0003819267,"domain_scores_codex":[0.9985216,0.00003031327,0.0002434174,0.0007561254,0.0002060507,0.0002425351],"domain_scores_gemma":[0.9994148,0.00001697124,0.0001309381,0.0002607783,0.00001268401,0.0001637975],"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":[0.00004387493,0.0001719922,0.005728232,0.0004304088,0.00003230815,0.00000182222,0.001275529,0.8643045,0.0236659,0.000009474283,0.000671527,0.1036645],"study_design_scores_gemma":[0.0001339975,0.0001208716,0.001896666,0.0001048367,0.00004783385,0.000001115284,0.000221202,0.9950237,0.001133758,0.001025998,0.0000398337,0.000250244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3540667,0.0000164689,0.6435319,0.000339152,0.0002365138,0.0009208361,0.000009065978,0.0005030158,0.0003763696],"genre_scores_gemma":[0.8321071,0.000005205889,0.1670597,0.0000354322,0.0001204065,0.0002815299,0.00002308637,0.00002042055,0.0003470417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4780405,"threshold_uncertainty_score":0.8215309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04913760213288638,"score_gpt":0.2870056342525777,"score_spread":0.2378680321196914,"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."}}