{"id":"W4406546952","doi":"10.1016/s1541-9800(07)70228-4","title":"10.1016/s1541-9800(07)70228-4","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electronic records; Medical emergency; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001275084,0.00294924,0.001672803,0.003036507,0.002623678,0.003539446,0.003212919,0.0062231,0.9915811],"category_scores_gemma":[0.00217187,0.0009866219,0.001390069,0.002568446,0.001708489,0.005467496,0.003705802,0.002782854,0.9935188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164297,"about_ca_system_score_gemma":0.001353066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005221483,"about_ca_topic_score_gemma":0.005073869,"domain_scores_codex":[0.9992022,0.00006547567,0.00006231154,0.0002538854,0.0002223572,0.0001937558],"domain_scores_gemma":[0.9972724,0.000773235,0.0001480378,0.0002613572,0.0005469254,0.00099809],"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":[0.0002955639,0.0002844417,0.0009896747,0.0004912614,0.00002963223,0.000243126,0.0001250858,0.0003394273,0.001445809,0.003673586,0.441741,0.5503414],"study_design_scores_gemma":[0.0000551743,0.0001139845,0.0008731221,0.0003361096,0.00001196788,0.0002751022,0.0001334605,0.0001947303,0.0002893012,0.0004407443,0.9972519,0.0000243977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004226779,0.0002859844,0.0005061207,0.0004022229,0.0002449667,0.0001085844,0.0006990635,0.0008944771,0.996436],"genre_scores_gemma":[0.0004137924,0.000123759,0.0002754993,0.0002219984,0.00005600428,0.00005313683,0.0003524716,0.0001416716,0.9983616],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008418858,"threshold_uncertainty_score":0.01200849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368726852317348,"score_gpt":0.3237170158620191,"score_spread":0.3000297473388456,"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."}}