{"id":"W4393052913","doi":"10.2172/1856533","title":"RACEE Energy Efficiency Implementation for Holy Cross, Alaska (Final Report)","year":2021,"lang":"en","type":"report","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Computer science; Engineering; Electrical 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":[0.0003259236,0.0003982141,0.0004637169,0.0002371063,0.00007462938,0.0001373933,0.0002320462,0.0004794277,0.0001548913],"category_scores_gemma":[0.000197419,0.0004008842,0.0002494362,0.0002329337,0.00003505261,0.00007957079,0.00007311188,0.0002719782,0.000004262276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154053,"about_ca_system_score_gemma":0.0003686809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000912045,"about_ca_topic_score_gemma":0.00006751462,"domain_scores_codex":[0.9979507,0.000004642389,0.0006680432,0.0004519045,0.0004549935,0.0004697705],"domain_scores_gemma":[0.9988716,0.00006997926,0.000120047,0.0005707956,0.0003129748,0.00005460473],"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":[0.000005909571,0.00006042577,0.0007898734,0.001669186,0.000594781,0.0005630556,0.00004549752,0.0318529,0.001758408,0.001629099,0.7348337,0.2261971],"study_design_scores_gemma":[0.0003227499,0.00006140978,0.0007640588,0.00008823919,0.00008151583,0.0004895927,0.00009344018,0.002012205,0.02011976,0.0001085528,0.9751698,0.0006886505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03108015,0.02099874,0.7703517,0.0001743112,0.03273632,0.001069908,0.0004330298,0.01257469,0.1305811],"genre_scores_gemma":[0.8738965,0.008684286,0.0235939,0.00002403826,0.004444127,0.001250861,0.005816478,0.000616085,0.0816737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8428164,"threshold_uncertainty_score":0.9998443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03011008436350075,"score_gpt":0.3136341946042427,"score_spread":0.283524110240742,"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."}}