{"id":"W2381238779","doi":"","title":"An Introduction to Hypermedia Design Patterns","year":2001,"lang":"en","type":"article","venue":"Jisuanji yingyong yanjiu","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Hypermedia; Computer science; Human–computer interaction; World Wide Web; Multimedia","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009054466,0.0001178074,0.0001522414,0.000226714,0.0004964981,0.00008705509,0.0006887964,0.0001769296,0.001207379],"category_scores_gemma":[0.0005756841,0.0001245062,0.00004035449,0.0005251087,0.0001519183,0.0002662603,0.00006689806,0.0002117711,0.0004532992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303628,"about_ca_system_score_gemma":0.00008445659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009462908,"about_ca_topic_score_gemma":0.002065356,"domain_scores_codex":[0.9984083,0.0003554455,0.0002107923,0.00032929,0.0002947098,0.0004014873],"domain_scores_gemma":[0.9987108,0.000137603,0.0000698061,0.0007086637,0.000121074,0.000252035],"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":[0.000152643,0.0009827536,0.1748019,0.00001501527,0.00006736121,0.00004177219,0.05194028,0.0003293777,0.02114031,0.08996927,0.03470727,0.625852],"study_design_scores_gemma":[0.0004058454,0.0001811765,0.02907561,0.00001291722,0.00001981341,0.00001084766,0.006792385,0.001143375,0.001584983,0.0015647,0.9587834,0.0004248956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859773,0.00005544622,0.04128111,0.06220089,0.001439779,0.0007621005,0.000003667271,0.001156913,0.007122756],"genre_scores_gemma":[0.989637,0.0001631443,0.006997758,0.000755373,0.001293676,0.00005323294,0.0000149142,0.00002039011,0.001064471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9240762,"threshold_uncertainty_score":0.9997057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06177764907106797,"score_gpt":0.3728237296509077,"score_spread":0.3110460805798397,"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."}}