{"id":"W2782557435","doi":"10.3390/su10010139","title":"Identifying Sustainable Wood Sources for the Construction Industry: A Case Study","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Sustainability; Energy consumption; Business; Consumption (sociology); Sustainable development; Wood processing; Process (computing); Environmental science; Natural resource economics; Environmental economics; Engineering; Forestry; Geography; Economics; Ecology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001507598,0.0002646261,0.0002402209,0.0001496111,0.001053428,0.0003150366,0.0002735644,0.0001788319,0.00005743662],"category_scores_gemma":[0.0006475664,0.0002128671,0.0001020969,0.0006214002,0.0003313477,0.0003228417,0.0001284752,0.000421559,0.000002169896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132613,"about_ca_system_score_gemma":0.0004007655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008341759,"about_ca_topic_score_gemma":0.00007957307,"domain_scores_codex":[0.9980894,0.0001194502,0.0003537942,0.0003931097,0.0002236308,0.0008206203],"domain_scores_gemma":[0.9975294,0.0003603368,0.00006287464,0.0006490276,0.001286413,0.0001118817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001082707,0.003564924,0.3843973,0.01216476,0.003535997,0.01229638,0.1441138,0.0447628,0.0004384902,0.1262448,0.02571754,0.2416805],"study_design_scores_gemma":[0.001303559,0.0005047349,0.002527247,0.00001128016,0.0001919689,0.0004973101,0.9423071,0.00959684,0.001004267,0.02628804,0.01529868,0.0004690332],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499936,0.0001772241,0.04534842,0.0002853941,0.0004340773,0.003088316,0.000003312346,0.0004517677,0.0002179313],"genre_scores_gemma":[0.9973544,0.000002060785,0.0005214701,0.0000233853,0.0004116417,0.0006810577,0.00000134367,0.00004614392,0.0009584261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7981932,"threshold_uncertainty_score":0.8680468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887297539165468,"score_gpt":0.3002880857281925,"score_spread":0.2814151103365378,"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."}}