{"id":"W7096800250","doi":"","title":"Adding Intelligence to Hypertext Applications","year":2008,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypertext; Public access; Information system; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00125172,0.0009798571,0.0005600236,0.002035694,0.0009744996,0.008540256,0.001369479,0.001586182,0.01590593],"category_scores_gemma":[0.008704149,0.0007119739,0.0007990672,0.001843796,0.00162845,0.01173339,0.005690648,0.002044596,0.007139861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087303,"about_ca_system_score_gemma":0.0005646955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841256,"about_ca_topic_score_gemma":0.002881748,"domain_scores_codex":[0.9978807,0.0006762633,0.0001327247,0.000239067,0.0008865702,0.0001846931],"domain_scores_gemma":[0.9967257,0.001402754,0.0001006202,0.0009158185,0.0005941146,0.0002610354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004738044,0.0003039391,0.002625084,0.00136247,0.0001356787,0.0009646161,0.007532026,0.006811835,0.02797072,0.1704946,0.03716202,0.7441632],"study_design_scores_gemma":[0.00009253472,0.0003135964,0.003526143,0.0006666104,0.0003966556,0.001259952,0.001682242,0.06369043,0.03198264,0.2611059,0.6351328,0.0001505558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08508409,0.005683792,0.5414505,0.005223578,0.0009452375,0.0004664682,0.0006618156,0.02255242,0.3379321],"genre_scores_gemma":[0.5603682,0.006074173,0.3228788,0.001576615,0.0007689958,0.0002077173,0.002031688,0.002324466,0.1037693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01590593,"threshold_uncertainty_score":0.05321062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06654626201436507,"score_gpt":0.2752611796032057,"score_spread":0.2087149175888406,"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."}}