{"id":"W1556525173","doi":"","title":"Ergonomic design of interface for conceptual floor plan model and spatial event handling in rfid application","year":2009,"lang":"en","type":"article","venue":"Journal of Medical Informatics & Technologies","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Interface (matter); Floor plan; Event (particle physics); Human–computer interaction; Plan (archaeology); Conceptual design; Conceptual model; Interface design; Engineering drawing; Database; Engineering; Operating system","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":[0.0005475487,0.0005263336,0.0004087084,0.0004550243,0.0003135211,0.001158796,0.0009749844,0.0007147234,0.005405033],"category_scores_gemma":[0.001995624,0.000420487,0.0005153355,0.0003018081,0.0002390426,0.0008091019,0.0007128402,0.0002416986,0.0006130332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811502,"about_ca_system_score_gemma":0.0005176037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168219,"about_ca_topic_score_gemma":0.001196461,"domain_scores_codex":[0.9994943,0.0001776177,0.00003483495,0.00007709583,0.0001723363,0.00004382862],"domain_scores_gemma":[0.9995056,0.0001884426,0.00003924574,0.00008050867,0.0001617334,0.00002454545],"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":[0.0009887049,0.0003815595,0.008299253,0.0005506749,0.0001089042,0.001022853,0.002052491,0.5963234,0.1198562,0.04594797,0.004853061,0.2196148],"study_design_scores_gemma":[0.00003529448,0.0001830119,0.001377048,0.00002360914,0.00004229361,0.0001652308,0.0002111488,0.9775141,0.01255961,0.00266344,0.005201824,0.00002332915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04267978,0.00007171547,0.9532115,0.00007287964,0.00003449571,0.00006981561,0.00006760376,0.0009026148,0.002889657],"genre_scores_gemma":[0.7881792,0.0001066371,0.2079623,0.00003692789,0.000010601,0.0002057772,0.0001995153,0.000141632,0.003157448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005405033,"threshold_uncertainty_score":0.01808167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982714469794801,"score_gpt":0.2894454788774671,"score_spread":0.2596183341795191,"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."}}