{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000287131,0.00002819534,0.00002660872,0.00002028943,0.0000186053,0.00001399357,0.0002468798,0.000009283667,0.0002674465],"category_scores_gemma":[0.0000175425,0.00001416867,0.00002212382,0.0000464812,0.000007992249,0.0003869695,0.00006285675,0.00001239675,0.001587317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001190655,"about_ca_system_score_gemma":0.000007384614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000319253,"about_ca_topic_score_gemma":4.696533e-7,"domain_scores_codex":[0.9997165,0.000008001275,0.00003555128,0.0001004407,0.00005211887,0.00008740624],"domain_scores_gemma":[0.9997299,0.00003205138,0.00001012142,0.0001710418,0.00003555721,0.00002128702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001520876,0.000009075382,0.0007162069,3.188114e-7,0.000004521964,0.000003650586,0.00004140448,1.131638e-8,0.2971633,0.6613326,0.02944008,0.01128729],"study_design_scores_gemma":[0.0003438321,0.0001029258,0.03754605,0.00001346652,0.000001181668,0.00001267059,0.00002140826,0.0001828868,0.8528488,0.008519013,0.1002397,0.0001681256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003741352,0.000003320371,0.8233306,0.003055991,0.000185551,0.000014798,2.253404e-7,0.00001471825,0.1696534],"genre_scores_gemma":[0.9838118,0.000001756406,0.002403321,0.001096666,0.0000202973,0.000001216597,4.691676e-8,0.000001217354,0.01266368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9800705,"threshold_uncertainty_score":0.9991901,"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."}}