{"id":"W3160403431","doi":"10.48550/arxiv.2010.02392","title":"Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"CAD; Computer science; Computer Aided Design; Sketch; Task (project management); Parametric statistics; Software; Process (computing); Parametric model; Engineering drawing; Parametric design; Software engineering; Human–computer interaction; Machine learning; Programming language; Systems engineering; Engineering; Algorithm","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":[0.001158163,0.00251,0.0008733764,0.003376789,0.0008596022,0.001239347,0.003097003,0.003208231,0.01325457],"category_scores_gemma":[0.004621597,0.0005948152,0.002107398,0.002991389,0.001066142,0.001093895,0.002477592,0.001777998,0.01289903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009236527,"about_ca_system_score_gemma":0.001193786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007748187,"about_ca_topic_score_gemma":0.02163444,"domain_scores_codex":[0.9983352,0.0003443738,0.0001459013,0.00047277,0.0005742548,0.0001276036],"domain_scores_gemma":[0.9973261,0.0008266167,0.0001700646,0.001173803,0.0003234287,0.0001800456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001219525,0.001073412,0.01013099,0.004067394,0.0002285494,0.001716978,0.0006290455,0.03174008,0.01042825,0.007426009,0.6869593,0.2443805],"study_design_scores_gemma":[0.0004425585,0.0005797008,0.02148541,0.0004027532,0.0001068991,0.002313081,0.0006444822,0.06735671,0.01514888,0.007422385,0.8839278,0.0001692877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09323601,0.00589145,0.06979017,0.001063855,0.0005504769,0.001150991,0.7625126,0.04261043,0.02319411],"genre_scores_gemma":[0.0599667,0.0007350259,0.07112157,0.000197149,0.00004676413,0.001078695,0.8595083,0.001039725,0.006306096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01325457,"threshold_uncertainty_score":0.04434091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038387318172072,"score_gpt":0.1870063469726644,"score_spread":0.08316761515545716,"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."}}