{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009013156,0.0002253972,0.0002832166,0.00008819518,0.0001216407,0.00005808874,0.0002016064,0.0001647453,0.00003628412],"category_scores_gemma":[0.000006984447,0.0002582754,0.00008603746,0.00007324381,0.00007908264,0.00007484029,0.0001774135,0.0002235091,0.00001225541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009121779,"about_ca_system_score_gemma":0.00001827181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001995459,"about_ca_topic_score_gemma":0.00002942172,"domain_scores_codex":[0.9990641,0.00004435379,0.0001622966,0.0005150242,0.00005171508,0.0001625481],"domain_scores_gemma":[0.9994646,0.00004663121,0.00008026545,0.000289741,0.00001266661,0.0001060548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001621598,0.00001466759,0.0002623349,0.0001780267,0.0002687607,0.00002822212,0.0001270317,0.9964593,0.000590848,0.0001825792,0.0003470173,0.001524972],"study_design_scores_gemma":[0.0002811715,0.0000332689,0.00004243423,0.00008049759,0.00043107,8.40644e-7,0.0001624856,0.9831859,0.0001687136,0.01493622,0.0003787971,0.0002985231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277611,0.0001145132,0.7706589,0.00003445876,0.00006639478,0.0003387335,0.0008513806,0.000153728,0.0000208367],"genre_scores_gemma":[0.9872837,0.0005228775,0.009950344,0.00000930233,0.00005902037,0.000004714866,0.0021246,0.00002276738,0.00002263784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7607085,"threshold_uncertainty_score":0.9999869,"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."}}