{"id":"W2769200728","doi":"10.5465/ambpp.2018.13700abstract","title":"In Cloud We Trust? Normalization of Uncertainties in Online Platform Services","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Normalization (sociology); Cloud computing; Computer science; Service provider; Credibility; Corporate governance; Flexibility (engineering); Knowledge management; Business; Computer security; Process management; Service (business); Marketing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003476815,0.00009328863,0.0001617347,0.000456623,0.00002652429,0.00001179952,0.0009472198,0.0001315616,0.000005544206],"category_scores_gemma":[0.000004283029,0.00009344778,0.0000196399,0.001114781,0.0001182262,0.000524598,0.0004125709,0.0001381821,0.00000268462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002635484,"about_ca_system_score_gemma":0.000004095821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004101761,"about_ca_topic_score_gemma":0.00001745709,"domain_scores_codex":[0.9990271,0.00000278938,0.0003802744,0.0002494543,0.000171505,0.0001689032],"domain_scores_gemma":[0.9996282,0.000009551381,0.0002066499,0.00009253922,0.00004706698,0.00001597219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001162163,0.0001346849,0.008265539,0.0003849173,0.00001200826,2.631369e-7,0.001789627,0.00001162503,0.0001938742,0.9774462,0.0003424299,0.01140723],"study_design_scores_gemma":[0.00218791,0.0003140533,0.08827235,0.0007897737,0.00003127103,0.000004969002,0.005836856,0.1568832,0.04792947,0.6491502,0.04802008,0.0005799425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886032,0.000138654,0.002833792,0.005811097,0.00003818292,0.0003342847,0.000001418466,0.00006866465,0.002170669],"genre_scores_gemma":[0.9910303,0.0003475022,0.008149613,0.0003283003,0.00002818559,0.00002448463,0.000001026391,0.000004244526,0.00008638897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.328296,"threshold_uncertainty_score":0.381069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497039009776267,"score_gpt":0.2632459189342209,"score_spread":0.2482755288364582,"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."}}