{"id":"W7098200733","doi":"","title":"EFFECTIVENESS OF THE ENFORCEMENT OF INDUSTRIAL EMISSION STANDARDS IN","year":2014,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Latin Americans; Empirical research; Work (physics); Control (management); Empirical evidence; Developing country","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":[0.008568119,0.0001845938,0.0004672385,0.0007306958,0.0008458336,0.002014547,0.0009289352,0.0009140696,0.003116861],"category_scores_gemma":[0.03464487,0.0002126768,0.0003916858,0.0006976361,0.00162915,0.001132712,0.001483842,0.0009377648,0.0002143195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004517884,"about_ca_system_score_gemma":0.005158918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06507739,"about_ca_topic_score_gemma":0.0843469,"domain_scores_codex":[0.9896186,0.004467295,0.0006140337,0.001075026,0.002572218,0.001652777],"domain_scores_gemma":[0.9485037,0.02087193,0.02082993,0.004143171,0.00411032,0.001540909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005844602,0.00113037,0.9163874,0.0001848831,0.000329575,0.0003682865,0.001392084,0.01388369,0.003743723,0.01211664,0.001161738,0.04871714],"study_design_scores_gemma":[0.00005498672,0.0005867535,0.9738115,0.00008401922,0.000097011,0.00009912288,0.002528021,0.01111463,0.002765356,0.002274901,0.006552903,0.00003076015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980328,0.0002869412,0.001113935,0.0006739754,0.0000128835,0.00005605762,0.00007167432,0.00002739395,0.01742911],"genre_scores_gemma":[0.9988315,0.00004462532,0.0001907584,0.00004511661,0.000004024963,0.000008181972,0.00003688971,0.000001828192,0.0008370492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06507739,"threshold_uncertainty_score":0.1293972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009059379277032552,"score_gpt":0.2442717041932661,"score_spread":0.2352123249162336,"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."}}