{"id":"W2407832777","doi":"10.1145/2858036.2858485","title":"RetroFab","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Retrofitting; Computer science; Interface (matter); Enclosure; Toolbox; User interface; Rigidity (electromagnetism); Actuator; Human–computer interaction; Engineering; Telecommunications; Artificial intelligence","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":[0.001173086,0.001347294,0.0005525534,0.0009349894,0.0005850841,0.001844293,0.002826518,0.001354723,0.04616214],"category_scores_gemma":[0.002493118,0.0009061379,0.0009287286,0.000383355,0.0005061484,0.001909056,0.00228419,0.001345975,0.0161635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988894,"about_ca_system_score_gemma":0.000547646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007218121,"about_ca_topic_score_gemma":0.001381849,"domain_scores_codex":[0.9984673,0.0001396654,0.00006236561,0.0001894439,0.0009945285,0.0001466913],"domain_scores_gemma":[0.9985151,0.0002891515,0.0001004185,0.0005590864,0.000441138,0.00009515092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004044921,0.0002679043,0.002732751,0.0009882245,0.00008558326,0.001167985,0.001362334,0.01334613,0.1549648,0.02992795,0.09313626,0.7016156],"study_design_scores_gemma":[0.00005379432,0.000419193,0.001554464,0.0001039302,0.00004836111,0.002718117,0.0001596098,0.0295643,0.1006224,0.004638234,0.8599844,0.0001330908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01484599,0.0008112417,0.8604899,0.0003140286,0.0003342459,0.0002380706,0.0009695051,0.05963387,0.06236319],"genre_scores_gemma":[0.1263183,0.001082329,0.761424,0.0008070067,0.0001278217,0.0004773346,0.003253545,0.01528102,0.09122864],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04616214,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007624157609411431,"score_gpt":0.2228047764795346,"score_spread":0.2151806188701232,"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."}}