{"id":"W7047677516","doi":"","title":"High-tech houses benefit Canadians : NRC, CMHC and NRCan are helping Canada's housing industry to develop, assess and increase consumer acceptance of new energy-saving technologies","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Housing industry; Emerging technologies; Public housing; Work (physics); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001289929,0.0004038179,0.0002258371,0.000698737,0.008866794,0.004361214,0.0007294863,0.002072857,0.07865398],"category_scores_gemma":[0.003657562,0.0002984913,0.0004686487,0.001131206,0.001350984,0.00108895,0.001867496,0.00168818,0.008190884],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01890317,"about_ca_system_score_gemma":0.09889328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9485846,"about_ca_topic_score_gemma":0.9887033,"domain_scores_codex":[0.9985234,0.00008235024,0.00002679417,0.00007705826,0.000745635,0.0005447872],"domain_scores_gemma":[0.987442,0.0003098673,0.0002935408,0.0002227081,0.007598654,0.004133139],"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":[0.00009566575,0.0001883491,0.01725997,0.00009519432,0.00002137394,0.0002560173,0.0006992848,0.0002162031,0.002030007,0.01080144,0.8869476,0.08138891],"study_design_scores_gemma":[0.00004564835,0.00007314007,0.05254032,0.00009483243,0.0000300271,0.0001629047,0.004516647,0.0004421773,0.001612924,0.0008751687,0.9395673,0.00003906388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1065082,0.002988064,0.004116969,0.226306,0.005170105,0.0003571056,0.006113454,0.001648947,0.6467912],"genre_scores_gemma":[0.2189517,0.002785631,0.00571507,0.02304742,0.0003037979,0.00007010014,0.001992536,0.0002281559,0.7469057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9810968,"threshold_uncertainty_score":0.2631238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174797614018164,"score_gpt":0.2257637061302721,"score_spread":0.2040157299900905,"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."}}