{"id":"W2358730939","doi":"","title":"HYPERMEDIA MODEL BASED ON STRUCTURE PROPERTY","year":2001,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Computer science; Hypermedia; Context (archaeology); Formal grammar; Grammar; Set (abstract data type); Programming language; Syntax; Artificial intelligence; World Wide Web; Rule-based machine translation; Linguistics","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":[0.0004547717,0.0003128636,0.0003168242,0.00103523,0.0007295096,0.002310429,0.0009875059,0.001105625,0.006026369],"category_scores_gemma":[0.001570172,0.0002313482,0.0007988453,0.0006907287,0.001600322,0.005262911,0.00100379,0.00101734,0.001296688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090594,"about_ca_system_score_gemma":0.001175329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046421,"about_ca_topic_score_gemma":0.001579089,"domain_scores_codex":[0.9995758,0.0001032595,0.00002346101,0.0000777141,0.0001642022,0.00005560441],"domain_scores_gemma":[0.9995185,0.0001941412,0.00003593756,0.00009385146,0.0001101533,0.000047446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001716936,0.00002094381,0.0001285081,0.00003497215,0.000006040222,0.0001566034,0.000288839,0.01260081,0.001661895,0.9758509,0.001024139,0.008209114],"study_design_scores_gemma":[0.00004624343,0.00004747225,0.0001267397,0.0000412126,0.0000184107,0.0002395439,0.0001045175,0.1673701,0.001820197,0.806659,0.02350493,0.00002161855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03110847,0.0009143918,0.8820427,0.00153564,0.0001446143,0.0001679115,0.0003425704,0.0008912265,0.08285248],"genre_scores_gemma":[0.677682,0.00144335,0.2745595,0.0003896893,0.0002056429,0.0007394906,0.0006882215,0.0002005251,0.04409149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006026369,"threshold_uncertainty_score":0.0201602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926887021158176,"score_gpt":0.226088266901839,"score_spread":0.2068193966902572,"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."}}