{"id":"W3186176013","doi":"10.56748/ejse.336","title":"Method for the Automatic Generation of Timber Connection Patterns","year":2003,"lang":"en","type":"article","venue":"Electronic Journal of Structural Engineering","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Connection (principal bundle); Frame (networking); Computer science; Engineering drawing; Software engineering; Engineering; Telecommunications; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001084065,0.001093976,0.0007526811,0.002231016,0.0008904447,0.001267316,0.001987958,0.001063016,0.02349218],"category_scores_gemma":[0.00481223,0.0008141999,0.001040801,0.001081371,0.0008080906,0.001337656,0.001099353,0.001571506,0.007693386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271358,"about_ca_system_score_gemma":0.001098877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238464,"about_ca_topic_score_gemma":0.002104199,"domain_scores_codex":[0.9983276,0.0002323112,0.000127253,0.0003652135,0.0008749607,0.00007278233],"domain_scores_gemma":[0.9982673,0.0008965625,0.0000818067,0.0002836921,0.0004197198,0.00005096992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002566933,0.0001721697,0.0006166562,0.0004795386,0.00008883198,0.0004237102,0.0003783076,0.01202506,0.03623839,0.04332387,0.02417007,0.8818266],"study_design_scores_gemma":[0.0005825447,0.0002532926,0.001101597,0.0002128415,0.000145104,0.002692768,0.0001832175,0.5659512,0.09284335,0.07401051,0.2618172,0.0002064299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008728539,0.00003979441,0.993778,0.00003611417,0.00003115784,0.00011354,0.0001750006,0.003344869,0.001608659],"genre_scores_gemma":[0.01390473,0.00004692715,0.9820379,0.00003476737,0.00001239294,0.0002850593,0.0004763489,0.0005255301,0.002676327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02349218,"threshold_uncertainty_score":0.0785892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467421200270452,"score_gpt":0.2707743809192442,"score_spread":0.2561001689165396,"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."}}