{"id":"W4200284893","doi":"10.1177/08850666211064844","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":"article","venue":"Journal of Intensive Care Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Calgary; Children's Hospital of Eastern Ontario; McMaster University; Alberta Health Services; London Health Sciences Centre; Western University; Niagara Health System; William Osler Health System; University of Alberta","funders":"","keywords":"Automation; Enthusiasm; Medicine; Thematic analysis; Tracking (education); Intensive care; Medical education; Artificial intelligence; Computer science; Qualitative research; Psychology; Engineering; Intensive care medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02337016,0.0003708192,0.0004671588,0.003990216,0.002736171,0.001370218,0.001078113,0.001300069,0.004312259],"category_scores_gemma":[0.0383943,0.0004740565,0.001042845,0.002602758,0.0009026402,0.001769046,0.002525968,0.00141654,0.0008202978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01077822,"about_ca_system_score_gemma":0.02831451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05823419,"about_ca_topic_score_gemma":0.07547797,"domain_scores_codex":[0.9920211,0.002639207,0.001517846,0.000327114,0.001950321,0.0015444],"domain_scores_gemma":[0.9551858,0.009394403,0.005331697,0.0008505337,0.02214081,0.007096774],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004993619,0.002268359,0.6260599,0.004692823,0.0000791869,0.001295162,0.1361963,0.00124249,0.003281738,0.004151976,0.05433227,0.1659005],"study_design_scores_gemma":[0.0001642878,0.0019328,0.7476805,0.001460275,0.00006750047,0.0005411088,0.1767613,0.004018909,0.001130506,0.001338205,0.06470132,0.0002032869],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522357,0.0003543228,0.003485893,0.009235824,0.000113991,0.01796052,0.004421989,0.0001676108,0.01202413],"genre_scores_gemma":[0.9262059,0.001372321,0.02762077,0.004125067,0.0001045474,0.03137384,0.003938094,0.00004863463,0.00521077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9766299,"threshold_uncertainty_score":0.1235947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4104736075935868,"score_gpt":0.5242405717882519,"score_spread":0.1137669641946651,"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."}}