{"id":"W101728819","doi":"","title":"Yaanii: Effective Keyword Search over Semantic Dataset.","year":2010,"lang":"en","type":"book-chapter","venue":"Iris (Roma Tre University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; RDF; Semantic search; Cluster analysis; Keyword search; Graph; XML; Relevance (law); Ranking (information retrieval); Data mining; Semantic Web; Artificial intelligence; World Wide Web; Theoretical computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001600877,0.0004889074,0.0005544794,0.0007689412,0.0002935716,0.0001712865,0.002330572,0.0006239634,0.000334021],"category_scores_gemma":[0.00002760846,0.0005006493,0.0002416503,0.000201547,0.0003319955,0.0005305827,0.001386631,0.0009926978,0.0007869242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574997,"about_ca_system_score_gemma":0.0001736852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000266585,"about_ca_topic_score_gemma":0.0003389619,"domain_scores_codex":[0.9977983,0.00007479613,0.0001888217,0.001029055,0.000421075,0.0004879379],"domain_scores_gemma":[0.9975557,0.0003881238,0.0001664745,0.00154548,0.0001424074,0.0002017976],"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":[0.00008730658,0.000101197,0.0003575772,0.0001737194,0.000475773,0.007500459,0.0005132908,0.000005189906,0.0005425271,0.906051,0.05661589,0.02757604],"study_design_scores_gemma":[0.0007689286,0.0002098909,0.00123621,0.000148289,0.0001510559,0.00005430564,0.00003328776,0.0003625128,0.0003381296,0.01175329,0.9841558,0.0007883447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001675652,0.0002691656,0.02756782,0.0009112419,0.001215759,0.0008491479,0.0004083417,0.0006346621,0.9664682],"genre_scores_gemma":[0.02025056,0.000312152,0.01070832,0.0007201364,0.0005432767,0.000001967386,0.0006045134,0.0001214164,0.9667377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9275399,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618467578865878,"score_gpt":0.2175283328546492,"score_spread":0.2013436570659904,"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."}}