{"id":"W2903335220","doi":"10.9734/ajarr/2018/v2i229742","title":"Beyond the Construction, Design and Planning Scenarios of Eco-Buildings","year":2018,"lang":"en","type":"article","venue":"Asian Journal of Advanced Research and Reports","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Variety (cybernetics); Curiosity; Work (physics); Context (archaeology); Architectural engineering; Subject (documents); Sustainable development; Simple (philosophy); Business; Environmental planning; Risk analysis (engineering); Computer science; Engineering; Political science; Geography; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001565858,0.00008401506,0.0001703813,0.0002099329,0.0001989052,0.00005128884,0.00007662949,0.00004088742,0.000008903829],"category_scores_gemma":[0.000204565,0.00005544879,0.00002494353,0.0002189188,0.0004526628,0.0001964456,0.00003279905,0.0003219968,1.231791e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003509797,"about_ca_system_score_gemma":0.0001089391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001043537,"about_ca_topic_score_gemma":1.886993e-7,"domain_scores_codex":[0.998895,0.00006406735,0.000365073,0.0001023013,0.0003160475,0.0002574708],"domain_scores_gemma":[0.9989489,0.0001322176,0.0001503227,0.0001245458,0.0005117214,0.0001322932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009040112,0.0001975686,0.04043999,0.001051658,0.001110899,0.008530597,0.01489057,0.04626313,0.2190421,0.004597103,0.03442916,0.6285432],"study_design_scores_gemma":[0.004916031,0.01018477,0.02810384,0.003453227,0.0001919955,0.06777111,0.1147669,0.006726664,0.3978962,0.303203,0.06134325,0.001443065],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208049,0.005983932,0.06951972,0.0006060209,0.0006593154,0.0003428801,5.647255e-7,0.00002394571,0.002058692],"genre_scores_gemma":[0.9695871,0.0003709091,0.02978785,0.000006748381,0.0001800645,0.000002299546,1.408697e-7,0.00001343832,0.00005139845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6271001,"threshold_uncertainty_score":0.2261136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896227007995077,"score_gpt":0.3092074006095918,"score_spread":0.2902451305296411,"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."}}