{"id":"W3213441577","doi":"10.11575/prism/36000","title":"Increasing Energy Efficiency In Banff Municipal Operations","year":2017,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Efficient energy use; Computer science; Business; Engineering","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":[0.0005780675,0.0001311538,0.0001279873,0.0009430583,0.002178821,0.001594657,0.000524945,0.0004137521,0.005089981],"category_scores_gemma":[0.001682946,0.0001299213,0.0001179089,0.001860427,0.0007854953,0.0007227234,0.001450776,0.0002960895,0.0004094199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006166212,"about_ca_system_score_gemma":0.005031392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1969478,"about_ca_topic_score_gemma":0.5112738,"domain_scores_codex":[0.9988669,0.0002215981,0.00002894359,0.00007390201,0.0002990304,0.00050971],"domain_scores_gemma":[0.9993161,0.00009675509,0.0001215408,0.00004157093,0.0002590209,0.0001650835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006476802,0.0009627223,0.4754081,0.0006193197,0.00006135854,0.002896512,0.0199638,0.004028378,0.0202228,0.0242804,0.02294102,0.4279679],"study_design_scores_gemma":[0.00001483039,0.0003465556,0.8448009,0.0001826001,0.00001774768,0.0004656515,0.03940356,0.001264399,0.003554082,0.001707311,0.1082025,0.00003981372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601867,0.0003416916,0.000453453,0.0006972996,0.00001419721,0.00004368521,0.0001061843,0.00002411066,0.03813277],"genre_scores_gemma":[0.9917976,0.0002188034,0.0007185763,0.0001009504,0.000006090619,0.0000174797,0.0001507246,0.00001034838,0.006979288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8030522,"threshold_uncertainty_score":0.3916029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248894467064044,"score_gpt":0.2121922914595792,"score_spread":0.1997033467889388,"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."}}