{"id":"W7018006106","doi":"","title":"Canada and Newfoundland and Labrador announce funding to fight climate change, help homeowners save money, and improve energy efficiency in public buildings","year":2019,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Climate change; Energy (signal processing); Work (physics); Public policy","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":[0.001340363,0.001195361,0.000718714,0.00320324,0.008048394,0.007569758,0.001947367,0.007782963,0.1927122],"category_scores_gemma":[0.004841711,0.0008801147,0.001268541,0.003181632,0.001715456,0.001612269,0.002646264,0.004802897,0.04096004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04792076,"about_ca_system_score_gemma":0.1332103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9742415,"about_ca_topic_score_gemma":0.9921905,"domain_scores_codex":[0.9971533,0.00006508176,0.00004443128,0.0001150423,0.001462586,0.001159592],"domain_scores_gemma":[0.9929972,0.0003649223,0.0001332833,0.0002239233,0.004145076,0.002135549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002497311,0.00002837412,0.0004597866,0.00004281072,0.000003555291,0.00003177442,0.00003210227,0.00007075333,0.00006916298,0.00563893,0.9853519,0.008245973],"study_design_scores_gemma":[0.00002293714,0.000009546763,0.005375494,0.00006503057,0.000005875406,0.00001329071,0.0001719487,0.0002320499,0.0001769386,0.0006271734,0.9932818,0.00001780635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003142957,0.001572177,0.0006475541,0.03576305,0.00318115,0.0004209899,0.059098,0.00127729,0.8948967],"genre_scores_gemma":[0.004256964,0.0005637761,0.0004375468,0.002665816,0.0001168522,0.00005032363,0.005137731,0.0001720759,0.9865988],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1927122,"threshold_uncertainty_score":0.6446866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552910963654971,"score_gpt":0.2424641785434436,"score_spread":0.2269350689068939,"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."}}