{"id":"W6950532398","doi":"10.5683/sp3/ppbvtr","title":"Smart Triage: Clinical Data - QI","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Triage; Upload; Health care; Telemedicine; Intervention (counseling); Data collection; Data quality; Digital health; Quality management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01472263,0.0007331751,0.001215353,0.002361271,0.00135628,0.003193969,0.00191506,0.001009252,0.08512647],"category_scores_gemma":[0.06842051,0.0009127181,0.001231409,0.004684398,0.0008615215,0.003619731,0.005461434,0.002746883,0.02935071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784994,"about_ca_system_score_gemma":0.007933561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003702727,"about_ca_topic_score_gemma":0.004683136,"domain_scores_codex":[0.9806427,0.01033996,0.00444081,0.001249399,0.002435385,0.0008916807],"domain_scores_gemma":[0.9484158,0.01927679,0.007689333,0.00819784,0.01070473,0.005715482],"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":[0.006474069,0.001614448,0.04351345,0.004230018,0.0002879722,0.0001785053,0.002086067,0.0005333373,0.0007743278,0.00336293,0.6070917,0.3298531],"study_design_scores_gemma":[0.005947473,0.004292112,0.1058324,0.005194171,0.0002674838,0.0005411705,0.001705386,0.002349651,0.002756992,0.004228437,0.866559,0.0003257536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08431584,0.003881035,0.04521742,0.03314488,0.003519629,0.07951542,0.5687731,0.01440387,0.1672288],"genre_scores_gemma":[0.2704944,0.00640791,0.1576982,0.0179533,0.001979624,0.1608586,0.33176,0.003906392,0.04894163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08512647,"threshold_uncertainty_score":0.2847764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724226030009242,"score_gpt":0.4358452795566089,"score_spread":0.2634226765556847,"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."}}