{"id":"W2567253721","doi":"10.14288/1.0228102","title":"Mitigating torsional irregularity using cross laminated timber-reinforced concrete hybrid system","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross laminated timber; Structural engineering; 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":[0.0001346526,0.000328382,0.0002046343,0.0003958483,0.0001731034,0.0002458899,0.0003192054,0.000240505,0.001273143],"category_scores_gemma":[0.0001831592,0.00009489851,0.0002481603,0.0002576927,0.0001565875,0.000262537,0.0002920679,0.0001119537,0.0003427756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401831,"about_ca_system_score_gemma":0.0001535425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149149,"about_ca_topic_score_gemma":0.003025143,"domain_scores_codex":[0.9999007,0.00001635003,0.000005822405,0.00001537204,0.00004450287,0.00001722687],"domain_scores_gemma":[0.9998744,0.00002457877,0.00003414688,0.0000142593,0.00003932073,0.00001336839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003075469,0.0001130555,0.007983844,0.0001856982,0.00006621714,0.0005217034,0.0001487743,0.2588236,0.6233924,0.0008765736,0.0004695792,0.1071111],"study_design_scores_gemma":[0.00003823236,0.001846497,0.01974987,0.000052498,0.000153457,0.0005004646,0.0003043029,0.7835905,0.1882321,0.0007850365,0.004697856,0.00004918716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897483,0.0003024897,0.1040102,0.00004086244,0.00002485209,0.00002818486,0.00006995078,0.0006206147,0.005154533],"genre_scores_gemma":[0.990595,0.00005114486,0.00846152,0.000007517317,0.000002922645,0.000009292009,0.000041624,0.00001021347,0.0008207618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001273143,"threshold_uncertainty_score":0.004259109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846465909860149,"score_gpt":0.2358217016898107,"score_spread":0.2173570425912092,"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."}}