{"id":"W1992691722","doi":"10.1016/j.knosys.2004.05.004","title":"Web Intelligence: exploring structures, semantics, and knowledge of the Web","year":2004,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Semantics (computer science); World Wide Web; Semantic Web; Social Semantic Web; Web intelligence; Information retrieval; Web service; Web development; Programming language","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":[0.001775076,0.0008145086,0.0009553332,0.005337886,0.001108216,0.01219499,0.001517308,0.002177179,0.003113464],"category_scores_gemma":[0.00732386,0.0006650755,0.0008171931,0.006443338,0.006967338,0.0288245,0.002701508,0.002602125,0.0007967269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592752,"about_ca_system_score_gemma":0.002475615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004308592,"about_ca_topic_score_gemma":0.003870308,"domain_scores_codex":[0.9984011,0.0005361529,0.0001215505,0.0002303665,0.0006405663,0.00007024896],"domain_scores_gemma":[0.9975944,0.001695934,0.0001506232,0.00027432,0.0001494319,0.0001350992],"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":[0.00003841675,0.00007328495,0.001819827,0.0009390642,0.00009921242,0.0002583138,0.002448663,0.003835315,0.001173952,0.85529,0.007465757,0.1265581],"study_design_scores_gemma":[0.000005865339,0.000006391135,0.0003865404,0.0001925715,0.00002772359,0.0001257742,0.0007796552,0.0058869,0.000400809,0.9650324,0.02714361,0.00001170241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05404867,0.1018631,0.7293075,0.02672276,0.0007698604,0.0002478083,0.001519899,0.001333036,0.08418743],"genre_scores_gemma":[0.5693754,0.0673634,0.3451018,0.00228053,0.000955392,0.0002884907,0.003428774,0.0002290983,0.01097705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01219499,"threshold_uncertainty_score":0.01155633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131974831725774,"score_gpt":0.2683375434120264,"score_spread":0.2170177950947687,"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."}}