{"id":"W6992487133","doi":"","title":"LG UNVEILS CANADIAN 2024 HOME APPLIANCE LINEUP WITH EMPHASIS ON ENERGY EFFICIENCY","year":2024,"lang":"en","type":"other","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Emphasis (telecommunications); Energy (signal processing); Energy conservation; Energy consumption","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":[0.003114037,0.001400973,0.0006559545,0.00250811,0.008753709,0.005701178,0.002902756,0.009531355,0.1177949],"category_scores_gemma":[0.007015365,0.0008698555,0.001959967,0.002951959,0.001348223,0.001658151,0.002952527,0.006943111,0.02518814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07088542,"about_ca_system_score_gemma":0.2754804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906932,"about_ca_topic_score_gemma":0.9955166,"domain_scores_codex":[0.9944535,0.0001903172,0.0001035906,0.0001627702,0.003156485,0.001933322],"domain_scores_gemma":[0.9910318,0.0003576463,0.0001085947,0.0002145552,0.006237095,0.0020504],"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":[0.00002722869,0.00003455287,0.0004280959,0.00005893828,0.00000528689,0.0000623859,0.00006301651,0.0001882499,0.0001795901,0.009392027,0.9817865,0.007774195],"study_design_scores_gemma":[0.00001440558,0.000008734592,0.002670089,0.00006796708,0.000007529574,0.00001597767,0.0002111735,0.0001775442,0.0001936056,0.0005671672,0.9960433,0.00002264963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00510688,0.001901738,0.001722731,0.1167972,0.009184559,0.0004365251,0.03953693,0.002048911,0.8232645],"genre_scores_gemma":[0.01234529,0.001146327,0.002519774,0.03838462,0.000446473,0.0001326288,0.006258497,0.000428145,0.9383383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1177949,"threshold_uncertainty_score":0.5143121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006982267975480895,"score_gpt":0.209800901922844,"score_spread":0.2028186339473631,"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."}}