{"id":"W1996111649","doi":"10.1097/gim.0b013e31818fd617","title":"Clinical genetics provider real-time workflow study","year":2008,"lang":"en","type":"letter","venue":"Genetics in Medicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; McMaster Children's Hospital","funders":"","keywords":"Workflow; Medical genetics; Medicine; MEDLINE; Computer science; Computational biology; Genetics; Biology; Gene; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009018613,0.0003266574,0.0004447985,0.0006841205,0.004596014,0.003049667,0.001712717,0.02861832,0.01013522],"category_scores_gemma":[0.03857793,0.0006035561,0.0007406715,0.0006628424,0.001406827,0.002073341,0.001251537,0.01542512,0.002807065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007285579,"about_ca_system_score_gemma":0.009754718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408389,"about_ca_topic_score_gemma":0.05649308,"domain_scores_codex":[0.992638,0.003038021,0.0009400939,0.0007471577,0.001511183,0.00112545],"domain_scores_gemma":[0.9497907,0.03475172,0.00243766,0.001267888,0.004807813,0.006944212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002832012,0.0002180335,0.01334535,0.0000607179,0.00004559564,0.01188853,0.00103857,0.0006220099,0.0004949927,0.004024598,0.9485873,0.01939119],"study_design_scores_gemma":[0.001066417,0.0008418161,0.03115721,0.0005692907,0.0002420927,0.01109279,0.01057956,0.01260383,0.001599993,0.01550709,0.9144625,0.0002775128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004996134,0.0001129649,0.0004447479,0.9860116,0.003428223,0.00004102592,0.0001743117,0.00008370053,0.004707352],"genre_scores_gemma":[0.05327396,0.0003898647,0.002235002,0.9242199,0.006402873,0.0001755514,0.0001351937,0.00008304601,0.01308453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02861832,"threshold_uncertainty_score":0.05286086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2594143797883791,"score_gpt":0.5047784897661316,"score_spread":0.2453641099777525,"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."}}