{"id":"W2907098673","doi":"10.15706/jksms.2018.19.5.005","title":"Dentists’ Practice Patterns and Intervention Activities Under Indicator Linkage Management System","year":2018,"lang":"en","type":"article","venue":"Journal of Korea Service Management Society","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Medicine; Quarter (Canadian coin); Metropolitan area; Health care; Family medicine; Linkage (software); Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005754329,0.0002783418,0.000444421,0.001190393,0.0006153252,0.0005758848,0.0005830494,0.0004084673,0.001651256],"category_scores_gemma":[0.01756771,0.0002462845,0.0006043251,0.001466343,0.0003541481,0.0006377922,0.00109427,0.0006303675,0.0002282741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286488,"about_ca_system_score_gemma":0.004291204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003107695,"about_ca_topic_score_gemma":0.005285529,"domain_scores_codex":[0.9919143,0.003937687,0.00103279,0.0007050396,0.001588262,0.0008219843],"domain_scores_gemma":[0.9914414,0.002436584,0.002896294,0.0007344414,0.00118387,0.001307369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002582219,0.009948215,0.7115042,0.0005057413,0.0001522199,0.00009064087,0.002550014,0.001175609,0.002682305,0.0002635478,0.00120432,0.267341],"study_design_scores_gemma":[0.0002867449,0.007447826,0.9841164,0.000086827,0.000127694,0.00006034795,0.001854739,0.00203101,0.001619868,0.0001462303,0.002192314,0.00003012626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971928,0.0001466441,0.0008311916,0.0002255457,0.00001926076,0.0004571425,0.0001895578,0.00004137707,0.0008964379],"genre_scores_gemma":[0.9942915,0.0001570421,0.003300716,0.0001024596,0.00002755231,0.001187846,0.000363577,0.000006270519,0.0005630557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005754329,"threshold_uncertainty_score":0.03043211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008472823862808353,"score_gpt":0.2560895837267089,"score_spread":0.2476167598639005,"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."}}