{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001965887,0.0002031527,0.0003814798,0.00009859082,0.00100333,0.00001962445,0.0003360985,0.0004130621,0.0001766957],"category_scores_gemma":[0.001773924,0.0001808928,0.0001295573,0.0002189524,0.00004271156,0.0007080269,0.0001045112,0.0005045828,0.00281527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008264658,"about_ca_system_score_gemma":0.0002660232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00395579,"about_ca_topic_score_gemma":0.00311049,"domain_scores_codex":[0.9966888,0.0007329891,0.001136266,0.0003137816,0.0001772602,0.0009509359],"domain_scores_gemma":[0.9939829,0.004116911,0.0005040391,0.0007703718,0.0003629007,0.0002629393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004696524,0.0003326568,0.8687109,0.005326606,0.00007652368,0.000001388805,0.01313028,0.00001380895,0.001977057,0.01807126,0.05232211,0.0395678],"study_design_scores_gemma":[0.0009179416,0.0003860174,0.4159179,0.001967231,0.0001500291,0.000007596307,0.06744166,0.00843381,0.004596043,0.002474123,0.4962612,0.001446434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703625,0.0003057146,0.002773988,0.0007907852,0.01407568,0.002161121,0.00009663926,0.001550049,0.007883457],"genre_scores_gemma":[0.9915532,0.0000228576,0.001551463,0.0001643667,0.002424626,0.0007898787,0.00005679331,0.00005329849,0.003383535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4527929,"threshold_uncertainty_score":0.9979612,"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."}}