{"id":"W2486550837","doi":"","title":"공공건물 태양열 및 지열시스템 리트로핏을 위한 신재생에너지 선정 지원 툴 연구","year":2016,"lang":"ko","type":"article","venue":"대한설비공학회 2016년도 하계학술발표대회","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Environmental economics; Energy consumption; Government (linguistics); Baseline (sea); Engineering; Environmental resource management; Architectural engineering; Business; Environmental science; Economics; Political 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":[0.001411936,0.000657836,0.0007226677,0.0001401984,0.001118088,0.000192099,0.001203031,0.0008143893,0.01670783],"category_scores_gemma":[0.0002040877,0.0004733516,0.0004503007,0.0004472823,0.001332526,0.0008713164,0.0003781664,0.0003367079,0.02558703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006046953,"about_ca_system_score_gemma":0.0001942572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005110867,"about_ca_topic_score_gemma":0.001761147,"domain_scores_codex":[0.9943475,0.0006964041,0.0008665172,0.001128936,0.001334795,0.001625809],"domain_scores_gemma":[0.9972055,0.0004383496,0.0004555183,0.001061686,0.00006011454,0.0007788652],"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":[0.000426637,0.001538857,0.1713067,0.0003180088,0.001018844,0.0003364776,0.02380283,0.00006995653,0.03677972,0.1043765,0.3736591,0.2863664],"study_design_scores_gemma":[0.001490954,0.0002548562,0.02971441,0.0005465714,0.0001069723,0.00001502966,0.002802537,0.00001408886,0.002250985,0.003497901,0.9580894,0.001216298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5860024,0.003612357,0.0007356485,0.01316196,0.009427379,0.001111292,0.0002756385,0.0004997663,0.3851735],"genre_scores_gemma":[0.7739606,0.002110164,0.00007697221,0.000511158,0.002384709,0.00005615024,0.00001068639,0.00007862502,0.2208109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5844303,"threshold_uncertainty_score":0.9997718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242867951166989,"score_gpt":0.2382575145640163,"score_spread":0.2258288350523464,"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."}}