{"id":"W2409895491","doi":"10.3109/10408360903507283","title":"Critical Reviews in Clinical Laboratory Sciences","year":2010,"lang":"en","type":"review","venue":"Critical Reviews in Clinical Laboratory Sciences","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Data science; Computational biology; Computer science; Biology","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":[0.0126863,0.003604505,0.007556311,0.01502252,0.0008546814,0.00461593,0.002567659,0.004921845,0.01036733],"category_scores_gemma":[0.03924508,0.001381138,0.002162196,0.01019792,0.002193433,0.004320108,0.002578427,0.004897665,0.00371019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004133847,"about_ca_system_score_gemma":0.01549361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002719423,"about_ca_topic_score_gemma":0.006036875,"domain_scores_codex":[0.9899783,0.003409488,0.00275672,0.000642775,0.002885161,0.0003276037],"domain_scores_gemma":[0.9621039,0.0200462,0.006202746,0.000898359,0.009488961,0.001259887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002258015,0.00009841636,0.0001410233,0.1600124,0.0007981591,0.0001709893,0.0002073804,0.0001590963,0.0005350175,0.00201831,0.1761588,0.6594747],"study_design_scores_gemma":[0.0004127135,0.0001868675,0.0008371312,0.119672,0.002618127,0.000861106,0.0001591055,0.00009946518,0.0003742942,0.002856947,0.8718506,0.00007158129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001403529,0.9971862,0.00009622431,0.0007933609,0.001493447,0.00004459675,0.00001427706,0.000007322499,0.0003504939],"genre_scores_gemma":[0.0004015919,0.9951332,0.0004230608,0.001272858,0.002248712,0.00009867779,0.00002951961,0.000003367773,0.0003889775],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01502252,"threshold_uncertainty_score":0.06709236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4452302315634898,"score_gpt":0.6259736387268737,"score_spread":0.1807434071633839,"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."}}