{"id":"W2102645319","doi":"10.1109/iscas.1999.777793","title":"User selectable feature support for an embedded processor","year":2003,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Feature (linguistics); Set (abstract data type); Variety (cybernetics); Computer architecture; Core (optical fiber); Key (lock); Automation; Embedded system; Architecture; Operating system; Artificial intelligence; Engineering; Programming language; Telecommunications","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":[0.0011695,0.00140449,0.0006436307,0.0008678491,0.0003694346,0.001333825,0.001810445,0.001020097,0.03319138],"category_scores_gemma":[0.005915363,0.0006982111,0.0006745105,0.0005791581,0.0002564963,0.001964357,0.00145576,0.001082137,0.01017745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131715,"about_ca_system_score_gemma":0.0002206284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789994,"about_ca_topic_score_gemma":0.0005989847,"domain_scores_codex":[0.9991913,0.0001543121,0.0001143893,0.00009452459,0.0003249384,0.0001205196],"domain_scores_gemma":[0.9952903,0.001600603,0.0002815803,0.001836701,0.0007993896,0.0001915594],"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":[0.004164142,0.0005814877,0.006763102,0.001016897,0.0001738176,0.003512128,0.0009184583,0.005126942,0.2765985,0.02213997,0.0812214,0.5977831],"study_design_scores_gemma":[0.0009595121,0.001541784,0.01015469,0.0002946942,0.0004174166,0.008257446,0.0001943637,0.07989146,0.4091727,0.02102837,0.4677157,0.000371943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1014073,0.0007734087,0.6702989,0.0007233064,0.0001926498,0.0004919504,0.002553997,0.1779382,0.04562037],"genre_scores_gemma":[0.6941952,0.0008377844,0.2124807,0.001408063,0.0004270834,0.001030279,0.007195064,0.01923709,0.06318879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03319138,"threshold_uncertainty_score":0.1110362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231225517442616,"score_gpt":0.2898645089547157,"score_spread":0.2675522537802895,"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."}}