{"id":"W4246911139","doi":"10.1002/ban.30740","title":"Create environment of ‘trust’ to achieve no surprises","year":2018,"lang":"en","type":"article","venue":"Board & Administrator for Administrators Only","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Computer 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005445522,0.0002819984,0.0004244111,0.00008467762,0.0005721264,0.0001064379,0.0005025237,0.0002321565,0.0008509778],"category_scores_gemma":[0.0005104967,0.0002920229,0.0002674132,0.0001857445,0.0009860165,0.0001864105,0.00006209439,0.0001138683,0.001048105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682726,"about_ca_system_score_gemma":0.001411987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054005,"about_ca_topic_score_gemma":0.000802841,"domain_scores_codex":[0.9974907,0.00008889967,0.0007045521,0.0005311054,0.0003652498,0.0008194688],"domain_scores_gemma":[0.9979679,0.0002355996,0.0002103228,0.0004424586,0.0001578454,0.0009858503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001684724,0.001231668,0.03359251,0.0001039245,0.0003052092,0.00001782084,0.003953753,0.000004169172,0.001088757,0.9019068,0.0528413,0.003269325],"study_design_scores_gemma":[0.0004872037,0.003784698,0.004922214,0.00003233625,0.00008393486,0.000003011183,0.002198372,0.0000103131,0.002168413,0.007163994,0.9786699,0.0004756115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.803675,0.00002749191,0.0003188371,0.00250009,0.0007853052,0.001012224,0.0008227245,0.0001019618,0.1907564],"genre_scores_gemma":[0.9886832,0.00001759871,0.003249365,0.000428557,0.0009571442,0.0000765458,0.00002304024,0.00003083834,0.006533707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9258286,"threshold_uncertainty_score":0.9999532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528891980454721,"score_gpt":0.3214707751393527,"score_spread":0.2961818553348055,"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."}}