{"id":"W1817044009","doi":"10.1111/j.1537-2995.2010.02879.x","title":"Hitting the “tipping point” of TRICC?","year":2010,"lang":"en","type":"letter","venue":"Transfusion","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Tipping point (physics); Medicine; Engineering","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":[0.02855613,0.001063508,0.001203522,0.002748367,0.01446232,0.02182316,0.004354798,0.01416148,0.03384874],"category_scores_gemma":[0.1460579,0.0006590862,0.001255247,0.004188136,0.04008204,0.02967985,0.01420513,0.02182941,0.02355606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01395236,"about_ca_system_score_gemma":0.02445241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127353,"about_ca_topic_score_gemma":0.02303002,"domain_scores_codex":[0.9499936,0.03002909,0.002112769,0.003424887,0.01100483,0.00343477],"domain_scores_gemma":[0.9368064,0.02548886,0.003700582,0.01064306,0.0172083,0.006152773],"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":[0.0000767702,0.00005952135,0.001017977,0.000711469,0.00002319952,0.0008214464,0.03359451,0.00009046835,0.0002406751,0.3026361,0.5822246,0.07850329],"study_design_scores_gemma":[0.00001813075,0.00004112598,0.0003667214,0.002229228,0.00001413152,0.0007854048,0.02431735,0.0001946696,0.0004344039,0.07817695,0.8933644,0.0000574327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002964657,0.01581638,0.0097186,0.816594,0.02463328,0.000149603,0.0001032323,0.0004350221,0.1295853],"genre_scores_gemma":[0.1394361,0.02014297,0.02266824,0.6805332,0.01146049,0.0007820404,0.0003346939,0.002092478,0.1225498],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03384874,"threshold_uncertainty_score":0.1510211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1208397610678358,"score_gpt":0.3825308769103052,"score_spread":0.2616911158424694,"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."}}