{"id":"W1967140955","doi":"10.1145/2180796.2180809","title":"Knowledge discovery system for automated quality abstraction","year":2012,"lang":"en","type":"article","venue":"ACM SIGHIT Record","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Computer science; Transparency (behavior); Quality (philosophy); Commission; Quarter (Canadian coin); Core (optical fiber); Abstraction; Health care; Computer security; Business; Telecommunications","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":[0.003710363,0.0009448567,0.0009378952,0.004051143,0.001375552,0.002116353,0.002571412,0.001161464,0.009566707],"category_scores_gemma":[0.01220706,0.0007188938,0.001370028,0.002828564,0.0004746714,0.002783611,0.00256849,0.001836935,0.005469563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00209877,"about_ca_system_score_gemma":0.004067515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375234,"about_ca_topic_score_gemma":0.01435729,"domain_scores_codex":[0.9973755,0.0004661887,0.0004236753,0.0006963991,0.000873428,0.0001648523],"domain_scores_gemma":[0.9943183,0.002614609,0.0005277856,0.001093942,0.001206368,0.0002389184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001024122,0.001072056,0.01177578,0.001272355,0.0004491498,0.001251868,0.0008252527,0.0229893,0.02158369,0.02899896,0.1736583,0.7350991],"study_design_scores_gemma":[0.0007154454,0.0003289766,0.008053555,0.0002467165,0.000437325,0.0009660276,0.0002986157,0.6974091,0.05475767,0.04870831,0.1878081,0.0002702614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01018736,0.0003701681,0.7658211,0.001297746,0.0001499347,0.001066134,0.01201136,0.2003516,0.008744695],"genre_scores_gemma":[0.1350538,0.0003388004,0.8264096,0.0008825541,0.00009695867,0.001107611,0.02770416,0.00148455,0.006921881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01375234,"threshold_uncertainty_score":0.03200376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3219959649906098,"score_gpt":0.5526751666156433,"score_spread":0.2306792016250335,"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."}}