{"id":"W3123087476","doi":"","title":"Time-Saving Innovations, Time Allocation, and Energy Use: Evidence from Canadian Households","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Time allocation; Production (economics); Time-use survey; Business; Energy (signal processing); Market penetration; Environmental economics; Economics; Natural resource economics; Agricultural economics; Labour economics; Marketing; Microeconomics; Work (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00148008,0.0003571576,0.0004427707,0.000866963,0.0003000124,0.0003912121,0.0007900993,0.0005017369,0.0002520327],"category_scores_gemma":[0.0008257917,0.0004274829,0.0000717622,0.0003466848,0.0002531954,0.0003355036,0.0007356222,0.0008258522,0.00003617894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555052,"about_ca_system_score_gemma":0.001054722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2679546,"about_ca_topic_score_gemma":0.2865751,"domain_scores_codex":[0.9967046,0.0003416208,0.0006994057,0.001125251,0.0002939165,0.0008352318],"domain_scores_gemma":[0.9974079,0.0006950227,0.0001769306,0.001224847,0.0001937173,0.0003015627],"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":[0.0000519243,0.0001305672,0.001831779,0.00006459836,0.0002054823,0.00007713094,0.0005426101,0.4263069,0.0006852949,0.01891361,0.002512788,0.5486773],"study_design_scores_gemma":[0.0008013098,0.0001726,0.05201552,0.001939521,0.00005771354,0.000008691329,0.0002733458,0.1914413,0.0004353095,0.009744382,0.7410475,0.002062834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.803191,0.001466899,0.00005693889,0.004300778,0.0005404386,0.0006299951,0.000140157,0.0002601671,0.1894137],"genre_scores_gemma":[0.9454253,0.02000393,0.002248828,0.001030605,0.0003836325,0.0002295803,0.000603371,0.0001218187,0.02995293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7385347,"threshold_uncertainty_score":0.9998177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272036687277658,"score_gpt":0.2760897257720095,"score_spread":0.2433693588992329,"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."}}