{"id":"W1497987877","doi":"","title":"Dynamically mapping screen real estate optimality","year":2010,"lang":"en","type":"article","venue":"Portland International Conference on Management of Engineering and Technology","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Human–computer interaction; Interface (matter); Context (archaeology); Ontology; User interface; Set (abstract data type); Natural user interface; Generative grammar; User interface design; Multimedia; User experience design; Programming language; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002432394,0.00007174372,0.000104172,0.0003120337,0.00006522849,0.00001978351,0.0004245936,0.0001217662,0.0001216956],"category_scores_gemma":[0.00005797744,0.00007644414,0.00001692605,0.0001598451,0.0002302285,0.00004894572,0.0001339345,0.0002373838,0.000004590085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001282347,"about_ca_system_score_gemma":0.00001468404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002343396,"about_ca_topic_score_gemma":0.0001517168,"domain_scores_codex":[0.9993864,0.000008489456,0.000169081,0.0001507055,0.0001489315,0.000136425],"domain_scores_gemma":[0.9995598,0.0000246368,0.00007347735,0.0002063965,0.00009909631,0.00003659245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004162176,0.00002935825,0.003081221,0.000008838476,0.00004208792,0.000003870462,0.00008456828,0.000007257513,0.001149308,0.8963729,0.00001136937,0.09920511],"study_design_scores_gemma":[0.003690492,0.0004858253,0.1804843,0.0006954611,0.0001235414,0.00002904681,0.01273286,0.288448,0.002217438,0.06636865,0.4427759,0.00194842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6212203,0.000005612919,0.00187185,0.009869779,0.0003240164,0.0001728701,0.000008657132,0.0003626628,0.3661643],"genre_scores_gemma":[0.9853086,0.002028615,0.01224874,0.000009094552,0.00001561843,0.00001548314,0.00001460917,0.000004973539,0.0003542883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8300042,"threshold_uncertainty_score":0.3117301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641576563347238,"score_gpt":0.3070585059617401,"score_spread":0.2806427403282677,"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."}}