{"id":"W6945383943","doi":"10.25384/sage.c.5750650.v1","title":"Needs Assessment Survey Identifying Research Processes Which may be Improved by Automation or Artificial Intelligence: ICU Community Modeling and Artificial Intelligence to Improve Efficiency (ICU-Comma)","year":2021,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Enthusiasm; Tracking (education); Thematic analysis; Intensive care; Needs assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02489989,0.0003911295,0.0004625498,0.00382355,0.002816116,0.001449674,0.001138316,0.00124058,0.005029609],"category_scores_gemma":[0.03721596,0.000548629,0.001053532,0.002528314,0.0008984957,0.001938349,0.002770262,0.001393671,0.0007984705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01126258,"about_ca_system_score_gemma":0.03033982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06042818,"about_ca_topic_score_gemma":0.08243192,"domain_scores_codex":[0.9908117,0.003036407,0.0016816,0.0003600859,0.002269389,0.001840766],"domain_scores_gemma":[0.9590718,0.008420769,0.004927851,0.0008329313,0.02042079,0.006325878],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005075772,0.002484016,0.5891153,0.005273477,0.00007841273,0.001251286,0.1350023,0.001228909,0.003327059,0.004458534,0.05335242,0.2039207],"study_design_scores_gemma":[0.0002040481,0.00185069,0.7427205,0.001757831,0.00007295784,0.0005084589,0.1716682,0.004208133,0.001277465,0.001652593,0.0738609,0.0002181572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465664,0.0004255003,0.004111163,0.01070831,0.0001240392,0.02149595,0.004101614,0.0001616761,0.01230542],"genre_scores_gemma":[0.9147566,0.001585808,0.03074398,0.004329409,0.0001143294,0.0389403,0.003782955,0.00004770833,0.005698984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9751001,"threshold_uncertainty_score":0.1316848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2062284948204792,"score_gpt":0.4611930970334077,"score_spread":0.2549646022129285,"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."}}