{"id":"W2896849145","doi":"10.2118/191514-ms","title":"Safe Choice – Operationalizing Human Performance Science in Decision-Making","year":2018,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Operationalization; Agile software development; Transformational leadership; Workforce; Engineering; Knowledge management; Computer science; Public relations; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00242118,0.0001448085,0.0002223125,0.0008062689,0.0005880266,0.0003608693,0.0007656163,0.000126361,0.0006083305],"category_scores_gemma":[0.002065387,0.0001174956,0.00003218756,0.001674521,0.001225447,0.001300927,0.000606466,0.0002301844,0.0002972799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006180945,"about_ca_system_score_gemma":0.00008164266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001641107,"about_ca_topic_score_gemma":0.0006794466,"domain_scores_codex":[0.9975277,0.00004304257,0.0005543092,0.0006926932,0.0008191656,0.0003631544],"domain_scores_gemma":[0.9983948,0.000313004,0.0001133536,0.0004242716,0.0006840829,0.00007045533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004937555,0.0001125524,0.05257345,0.000008454082,0.000002454305,0.000009164436,0.0004047457,0.000006037905,0.01569689,0.2284576,0.002587289,0.700092],"study_design_scores_gemma":[0.0008443681,0.0008623624,0.5696213,0.0004778647,0.00001075329,0.00002940178,0.001222466,0.006329427,0.004227719,0.3914987,0.02425658,0.0006190106],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934455,0.00002662582,0.01007077,0.0006357267,0.0001547683,0.0001914245,0.000003985757,0.00009298059,0.05436874],"genre_scores_gemma":[0.9970682,0.00001993422,0.002195205,0.0002091687,0.0001290246,0.00001391905,0.000002436095,0.000005979755,0.0003561853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.699473,"threshold_uncertainty_score":0.6660792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07713406605603454,"score_gpt":0.4016807540668544,"score_spread":0.3245466880108199,"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."}}