{"id":"W4296077905","doi":"10.29173/mocs270","title":"Automated BIM-based CNC file generator for wood panel framing machines in construction manufacturing","year":2022,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Framing (construction); Software; Automation; Numerical control; Computer science; Building information modeling; Information model; Software engineering; Manufacturing engineering; Engineering drawing; Engineering; Mechanical engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001238223,0.0009457235,0.000697923,0.002065808,0.0005827922,0.001280919,0.002267503,0.0008492853,0.01308267],"category_scores_gemma":[0.003034232,0.0006190375,0.0007231244,0.001112692,0.0005375809,0.001125953,0.001305245,0.000720961,0.0041496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006904454,"about_ca_system_score_gemma":0.001254039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223111,"about_ca_topic_score_gemma":0.002399951,"domain_scores_codex":[0.9985719,0.0001857011,0.00008007497,0.0002262508,0.0008455155,0.00009052869],"domain_scores_gemma":[0.9987796,0.0003493283,0.00009748001,0.0002773469,0.0004502618,0.00004587544],"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":[0.0005019681,0.0002181354,0.003204089,0.0006615612,0.00004385689,0.0007826664,0.0006658745,0.1322603,0.05014845,0.02351676,0.02872765,0.7592686],"study_design_scores_gemma":[0.00008189998,0.0001555146,0.002392978,0.0001073519,0.00002870095,0.0006729445,0.0001673988,0.8575715,0.07456003,0.0053975,0.05875904,0.000105048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008006817,0.00009407131,0.9720439,0.00008623097,0.00007124399,0.000364725,0.0005502441,0.01304847,0.005734208],"genre_scores_gemma":[0.1345284,0.0001558601,0.8571525,0.00005965626,0.00002579742,0.0005694278,0.001680232,0.001196075,0.004632076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01308267,"threshold_uncertainty_score":0.04376596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009069530823881115,"score_gpt":0.19347044105629,"score_spread":0.1844009102324089,"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."}}