{"id":"W2254891690","doi":"10.1177/2374289515619944","title":"Calgary Laboratory Services","year":2015,"lang":"en","type":"article","venue":"Academic Pathology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Department of Pathology and Laboratory Medicine, University of North Carolina School of Medicine; Calgary Laboratory Services; University of Calgary","keywords":"Government (linguistics); Test (biology); Health care; Fiscal year; Population; Service (business); Medicine; Business; Political science; Family medicine; Medical education; Economic growth; Environmental health; Finance; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001728464,0.00008816922,0.0002349837,0.00009916109,0.00002647847,0.000001794551,0.00012024,0.0004092114,0.00006409336],"category_scores_gemma":[0.01006151,0.00006762107,0.00002194099,0.0002015214,0.0001380577,0.00006777001,0.00006329089,0.001073547,0.0006729566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106588,"about_ca_system_score_gemma":0.003585628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004123718,"about_ca_topic_score_gemma":0.000002559476,"domain_scores_codex":[0.998284,0.000148204,0.0002173406,0.0001955512,0.0003845421,0.0007703244],"domain_scores_gemma":[0.9942095,0.0001006907,0.00003913007,0.0002041256,0.0001453746,0.005301179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001416539,0.0002929663,0.2273369,0.001277519,0.00006570166,0.01080649,0.005929372,7.933833e-7,0.06728889,0.002909617,0.5154779,0.1671973],"study_design_scores_gemma":[0.002582604,0.0007214893,0.02160738,0.0001130221,0.00002572211,0.0007962077,0.0003440923,0.0001144993,0.001645669,0.0008537862,0.9710768,0.0001187656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456326,0.004389706,0.0001011048,0.03737864,0.0003465042,0.0002814623,0.000008769739,0.0001214362,0.01173975],"genre_scores_gemma":[0.8529468,0.001209304,0.0007633923,0.1427818,0.0008422781,0.00003706826,0.00004073466,0.00002611276,0.001352622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4555989,"threshold_uncertainty_score":0.9982772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1583480617053415,"score_gpt":0.4516383234280366,"score_spread":0.293290261722695,"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."}}