{"id":"W2373901547","doi":"","title":"Application of Wood-based Reconstructed Structural Materials in Wood Frame Housing","year":2007,"lang":"en","type":"article","venue":"Mucai gongye","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineered wood; Frame (networking); Materials science; Composite material; Structural engineering; Pulp and paper industry; Environmental science; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004627727,0.0003098279,0.0001140539,0.001012727,0.0002263288,0.0004879171,0.0003556037,0.0002958333,0.002444996],"category_scores_gemma":[0.0008453557,0.0001641833,0.0002227623,0.0005893419,0.0002530927,0.0003634379,0.0002296111,0.0001538271,0.0003088653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986462,"about_ca_system_score_gemma":0.0002753001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008123469,"about_ca_topic_score_gemma":0.002694761,"domain_scores_codex":[0.9996963,0.0000715719,0.0000172506,0.00003194181,0.0001606675,0.00002227974],"domain_scores_gemma":[0.9996839,0.00007270731,0.00002600834,0.00006416906,0.0001402426,0.00001309577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005029283,0.0002101807,0.01039478,0.0006566616,0.00004776825,0.000769942,0.0003528963,0.1150439,0.4349536,0.01490283,0.001556937,0.4206075],"study_design_scores_gemma":[0.00003616128,0.001405525,0.02785633,0.0002065166,0.0001561388,0.001875946,0.0006070519,0.1372332,0.7825035,0.003347046,0.04468906,0.00008352112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6831357,0.003006311,0.2859703,0.0001130608,0.0001761597,0.0002128981,0.0005548276,0.0003788401,0.02645187],"genre_scores_gemma":[0.9207737,0.0006728199,0.07574478,0.00002072137,0.00000917423,0.00002319694,0.0002248497,0.00003387582,0.002496825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002444996,"threshold_uncertainty_score":0.008179307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00838846862384612,"score_gpt":0.2260229739417459,"score_spread":0.2176345053178998,"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."}}