{"id":"W2419301257","doi":"","title":"Designing a framework of intelligent information processing for dentistry administration data.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Data warehouse; Online analytical processing; Schema (genetic algorithms); Raw data; SQL; Table (database); Data science; Database; Data mining; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03601448,0.001129854,0.001340523,0.008078826,0.00235497,0.01106189,0.004251267,0.001973341,0.002585301],"category_scores_gemma":[0.04351475,0.001280978,0.003491954,0.007075789,0.00351282,0.01041345,0.005484419,0.002379559,0.00122955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003854748,"about_ca_system_score_gemma":0.007811408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227184,"about_ca_topic_score_gemma":0.01080854,"domain_scores_codex":[0.9831061,0.007657441,0.002838769,0.002046196,0.003784457,0.0005670461],"domain_scores_gemma":[0.9741693,0.01519523,0.001804387,0.00359978,0.004354357,0.0008768918],"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":[0.0002869858,0.000429832,0.01620188,0.002301233,0.0005259312,0.001281466,0.006823552,0.07157194,0.006960039,0.496608,0.02386394,0.3731452],"study_design_scores_gemma":[0.00009067069,0.00030237,0.003976687,0.001731355,0.0002544734,0.0006758133,0.003701919,0.4627417,0.007571425,0.3754185,0.1433845,0.0001506485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002460637,0.0001896231,0.9902552,0.001496646,0.00003997749,0.0007461885,0.000673338,0.002632482,0.001505927],"genre_scores_gemma":[0.01836178,0.0001306425,0.9791189,0.0001539295,0.00002684789,0.0004465863,0.001319032,0.0001040259,0.0003382952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03601448,"threshold_uncertainty_score":0.1904651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06559912867304556,"score_gpt":0.3116519107701808,"score_spread":0.2460527820971353,"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."}}