{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02134856,0.0005583139,0.0003349734,0.004033332,0.002645389,0.01156251,0.00128285,0.001701439,0.005158818],"category_scores_gemma":[0.03104387,0.0003715501,0.0005803574,0.002922934,0.01334411,0.01171524,0.007260234,0.002478933,0.0009880343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003132073,"about_ca_system_score_gemma":0.003443053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001548344,"about_ca_topic_score_gemma":0.001116274,"domain_scores_codex":[0.9680086,0.02155171,0.0008149194,0.00137882,0.007023635,0.001222288],"domain_scores_gemma":[0.9227943,0.05921526,0.005853627,0.007245774,0.003875899,0.001015157],"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":[0.00008126863,0.00006330366,0.002528977,0.000590064,0.00005685386,0.0002035858,0.008523582,0.002131749,0.002055041,0.8073069,0.001694293,0.1747644],"study_design_scores_gemma":[0.00005969799,0.0003382196,0.008363869,0.002185711,0.0001083428,0.0007308232,0.0104777,0.01102688,0.01014702,0.5965191,0.3598977,0.0001449817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09615294,0.009604875,0.1061372,0.01669122,0.0003774856,0.0002889207,0.00007354037,0.0002592289,0.7704145],"genre_scores_gemma":[0.9537152,0.004902541,0.02588864,0.0012477,0.0002583354,0.0002286007,0.00002701961,0.0000746117,0.01365736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02134856,"threshold_uncertainty_score":0.1129034,"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."}}