{"id":"W4220983907","doi":"10.21203/rs.3.rs-1071626/v1","title":"Building a Transdisciplinary Expert Consensus on the Cognitive Drivers of Performance Under Pressure: An International Multi-panel Delphi Study","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"Cilag; Defence Science and Technology Group; National Health and Medical Research Council; Canadian Institutes of Health Research; Federal Aviation Administration; Servier; H. Lundbeck A/S; Department of Industry, Innovation and Science, Australian Government; Eisai; Department of Science and Technology, Ministry of Science and Technology, India; Monash University; Science Foundation Ireland; Medical Research Council; Wilson Foundation; Australian Research Council; Department of Defence, Australian Government; University of Sydney; Australian Government; European Regional Development Fund; U.S. Department of Defense","keywords":"Delphi method; Delphi; Cognition; Knowledge management; Computer science; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1365736,0.0009052516,0.001220881,0.004224621,0.008365287,0.005626745,0.002601069,0.00355759,0.003266507],"category_scores_gemma":[0.1685444,0.001243186,0.00141816,0.002395382,0.004164276,0.007588128,0.01110126,0.004293884,0.0006803109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004795698,"about_ca_system_score_gemma":0.01218551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196529,"about_ca_topic_score_gemma":0.003655549,"domain_scores_codex":[0.9048648,0.07532687,0.004263802,0.003496913,0.006847697,0.005199869],"domain_scores_gemma":[0.7998637,0.1548078,0.003933135,0.007296557,0.03036933,0.003729433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008853632,0.001214073,0.03405926,0.0008626976,0.0001864133,0.0007174431,0.8677886,0.003052712,0.004760161,0.01003175,0.002023557,0.07441805],"study_design_scores_gemma":[0.0001060041,0.001206396,0.031187,0.0008096659,0.0001663012,0.000278635,0.9364899,0.01110969,0.003936226,0.008795204,0.005725474,0.0001894171],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959466,0.00008456217,0.03011265,0.001005156,0.00005490079,0.002153728,0.00009622634,0.00003210977,0.00699458],"genre_scores_gemma":[0.9818526,0.0001012406,0.01484858,0.0002188052,0.00001382037,0.001843398,0.0001292809,0.00002744221,0.0009647519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365736,"threshold_uncertainty_score":0.7222786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.464189735115589,"score_gpt":0.5752199940154163,"score_spread":0.1110302588998273,"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."}}