{"id":"W2892570462","doi":"10.2524/jtappij.72.705","title":"Activities for Energy Saving in PM8","year":2018,"lang":"en","type":"article","venue":"JAPAN TAPPI JOURNAL","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Miller Group (Canada)","funders":"","keywords":"Energy (signal processing); Chemistry; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002192684,0.0003313721,0.0001277069,0.0005418094,0.0004791401,0.0005048667,0.0003065264,0.0003441502,0.01439679],"category_scores_gemma":[0.0002911826,0.00007942829,0.00039875,0.0006186512,0.0001170453,0.0004087195,0.0003775539,0.0002160009,0.001493418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000630772,"about_ca_system_score_gemma":0.0005702752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005901981,"about_ca_topic_score_gemma":0.01125495,"domain_scores_codex":[0.9998473,0.00002916817,0.000008236972,0.0000255919,0.00004051638,0.00004915422],"domain_scores_gemma":[0.9998017,0.00003708467,0.00003345963,0.00001407025,0.00008653303,0.00002716673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001381664,0.0008289986,0.4210909,0.001992969,0.0003102386,0.0008711949,0.003946073,0.008033741,0.0710554,0.02756685,0.02812114,0.4348009],"study_design_scores_gemma":[0.0000335628,0.0004118313,0.7846586,0.0001975626,0.0001547381,0.0003591987,0.004305529,0.00264924,0.03016594,0.008381499,0.1686533,0.00002916763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7495729,0.002613422,0.007990564,0.002317027,0.0003153722,0.000238613,0.00576458,0.0002895908,0.2308979],"genre_scores_gemma":[0.9689835,0.0005925867,0.003026084,0.0001473701,0.00005399822,0.00008324593,0.001289631,0.00002390724,0.02579971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01439679,"threshold_uncertainty_score":0.04816204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345214918704758,"score_gpt":0.2664453954427894,"score_spread":0.2429932462557419,"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."}}