{"id":"W3006519036","doi":"10.21552/delphi/2019/4/11","title":"The Use of AI by Online Intermediation Platforms","year":2019,"lang":"en","type":"article","venue":"Delphi - Interdisciplinary Review of Emerging Technologies","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Transparency (behavior); Intermediation; Trustworthiness; Accountability; Computer science; Artificial intelligence; Digital ecosystem; Segmentation; Data science; Knowledge management; Business; Computer security; Political science","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":[0.0003523445,0.0001844585,0.0003643264,0.0002256413,0.0001220258,0.00005160293,0.0005752585,0.0001042542,0.00004774498],"category_scores_gemma":[0.0003239309,0.0001166902,0.0001168336,0.0009553714,0.0002052383,0.001590371,0.0009988884,0.0002543023,0.00002702253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001947035,"about_ca_system_score_gemma":0.00001379568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001537446,"about_ca_topic_score_gemma":0.0000110498,"domain_scores_codex":[0.9985794,0.000004604166,0.0007892916,0.0002121337,0.0002201227,0.0001944433],"domain_scores_gemma":[0.9982108,0.00007120966,0.0007902334,0.000514307,0.000410765,0.000002615692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002749347,0.0005607641,0.02150415,0.03225704,0.0002881095,0.000004218503,0.0001353237,0.0001834772,0.007888327,0.1902552,0.3005501,0.4460984],"study_design_scores_gemma":[0.001550793,0.0004399118,0.01093756,0.05609353,0.0004224796,0.00001592057,0.008323585,0.033882,0.005026589,0.0902717,0.791284,0.001751918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156216,0.02419018,0.001755536,0.05357732,0.001516709,0.001387217,0.00004417761,0.0007886153,0.001118675],"genre_scores_gemma":[0.9906645,0.007984575,0.000287947,0.0006169167,0.00006455382,0.00002880083,0.0002467793,0.00002175749,0.0000841477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.490734,"threshold_uncertainty_score":0.475849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813029554549243,"score_gpt":0.3004190033136104,"score_spread":0.262288707768118,"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."}}