{"id":"W16476387","doi":"10.1016/s0001-7310(05)75054-7","title":"mSpace: interaction design for user-determined, adaptable domain exploration in hypermedia","year":2003,"lang":"en","type":"article","venue":"Actas dermo-sifiliograficas","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adaptive hypermedia; Computer science; Hypermedia; Human–computer interaction; Affordance; Rendering (computer graphics); Context (archaeology); Domain (mathematical analysis); Multimedia; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182273,0.001112372,0.0004267225,0.0005371189,0.0003644521,0.0017157,0.001069241,0.001123917,0.01507079],"category_scores_gemma":[0.004302529,0.0003052343,0.0006241855,0.000288492,0.0004848745,0.001862558,0.002981359,0.0005457191,0.002725378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078861,"about_ca_system_score_gemma":0.0002861657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006018488,"about_ca_topic_score_gemma":0.0007495115,"domain_scores_codex":[0.9993308,0.0003081585,0.00004330658,0.00009673732,0.0001593453,0.00006167158],"domain_scores_gemma":[0.9986778,0.0008659814,0.0000405683,0.0001926283,0.0001128274,0.000110104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002203824,0.0005998156,0.004729299,0.001870237,0.00016947,0.001596016,0.01063687,0.01167199,0.1897144,0.02135613,0.02835348,0.7270985],"study_design_scores_gemma":[0.0007078635,0.003264376,0.01857054,0.0008866599,0.0005042169,0.005438411,0.005056565,0.4005451,0.1328536,0.05725125,0.3744869,0.0004345332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05575686,0.0003339142,0.9161102,0.0002287906,0.00006747735,0.0004675158,0.0003415056,0.01857633,0.0081173],"genre_scores_gemma":[0.4143746,0.0005380383,0.5597894,0.0003108246,0.00004676653,0.001494171,0.001438312,0.00225428,0.01975358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01507079,"threshold_uncertainty_score":0.05041683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08063595183861505,"score_gpt":0.2945844763107327,"score_spread":0.2139485244721177,"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."}}