{"id":"W4394218836","doi":"10.6084/m9.figshare.17821328","title":"EcoENERGY for Homes Data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000981086,0.0003353429,0.0003295291,0.0001706043,0.0002613174,0.00008771463,0.003017783,0.0001922708,0.9364746],"category_scores_gemma":[0.0008927854,0.0003399445,0.0001281627,0.000200418,0.000005574941,0.0001293674,0.002886078,0.0002511921,0.001111737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007826499,"about_ca_system_score_gemma":0.0001114422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005217151,"about_ca_topic_score_gemma":0.001873904,"domain_scores_codex":[0.9980392,0.00005454612,0.0002875708,0.0008320051,0.0003495631,0.0004370413],"domain_scores_gemma":[0.9968263,0.0002288753,0.0002171644,0.002605901,0.00004306782,0.00007870057],"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":[0.000009480557,0.00007214305,4.668411e-9,0.0005347526,0.00008697051,0.00002798002,0.000002142631,0.003131033,7.64572e-8,0.0002062889,0.9932765,0.00265268],"study_design_scores_gemma":[0.0002194516,0.00006167496,8.56964e-7,0.0002061286,0.00005817227,0.000002363208,0.00001331471,0.0001854975,0.000004255816,0.00004820196,0.9987754,0.0004247266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.519225e-8,0.0007790036,8.089339e-7,0.00006528684,0.0005587409,0.0002500918,0.9952714,0.0001105124,0.002964147],"genre_scores_gemma":[4.201937e-7,0.00008022974,0.00003852619,0.0008195972,0.0005055704,0.001675934,0.9924328,0.00005220515,0.004394762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9353628,"threshold_uncertainty_score":0.9999052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0876326942550401,"score_gpt":0.3030447299148953,"score_spread":0.2154120356598552,"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."}}