{"id":"W7011244946","doi":"","title":"LG UNVEILS CANADIAN 2024 HOME APPLIANCE LINEUP WITH EMPHASIS ON ENERGY EFFICIENCY","year":2024,"lang":"en","type":"other","venue":"","topic":"Probability and Statistical Research","field":"Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002410952,0.0003362109,0.0004254896,0.0003890503,0.0000464719,0.0001012865,0.0003867905,0.000332197,0.0142923],"category_scores_gemma":[0.0002944121,0.0002305411,0.00007345994,0.0004488139,0.0001798867,0.00001264256,0.00005290167,0.0004427372,0.002662981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002306203,"about_ca_system_score_gemma":0.0006604208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06248118,"about_ca_topic_score_gemma":0.4973871,"domain_scores_codex":[0.9978453,0.00005134828,0.000226558,0.0006418643,0.0005957981,0.0006391155],"domain_scores_gemma":[0.9984026,0.0003864737,0.00003894263,0.0006366819,0.00004760106,0.0004876937],"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":[0.000008610346,0.00005597456,0.000001084273,0.0004472521,0.00004688895,0.000105069,0.00001634718,4.054702e-7,4.731095e-7,0.4215713,0.5737063,0.004040388],"study_design_scores_gemma":[0.0001293777,0.0001870013,0.000001344172,0.0005158999,0.00003475843,0.000004883385,0.00001718867,0.0002460707,0.00001366371,0.1498012,0.8487114,0.0003371559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003762383,0.0004513893,0.01264193,0.0006366061,0.0001923656,0.0003384357,0.0004854192,0.0001964806,0.9850536],"genre_scores_gemma":[0.0009175328,0.0000916983,0.006184033,0.000253961,0.0001927031,0.0001024466,0.00001862221,0.0003938771,0.9918451],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.434906,"threshold_uncertainty_score":0.9981136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751345714412952,"score_gpt":0.3398961592589685,"score_spread":0.292382702114839,"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."}}