{"id":"W2124306282","doi":"10.1111/deci.12116","title":"Online Intermediary as a Channel for Selling Quality‐Differentiated Services","year":2015,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Competition (biology); Business; Service provider; Channel (broadcasting); Service (business); Quality (philosophy); Consumption (sociology); Intermediary; Industrial organization; Marketing; Advertising; Microeconomics; Commerce; Telecommunications; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002389,0.0001427481,0.0002024561,0.0003670014,0.0002747255,0.0005987858,0.0005665915,0.0000498365,0.00009694097],"category_scores_gemma":[0.0003989688,0.000108368,0.00007899377,0.0007383115,0.00009348753,0.001070855,0.0002394098,0.00006986922,0.0001293615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001004717,"about_ca_system_score_gemma":0.00003936104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004986048,"about_ca_topic_score_gemma":0.0004307804,"domain_scores_codex":[0.9984154,0.00001277321,0.0003550603,0.0003829502,0.0005554623,0.0002783441],"domain_scores_gemma":[0.9989386,0.0003597543,0.0001926793,0.0001748848,0.0002996941,0.00003437748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008399806,0.0008661268,0.1657223,0.0004000724,0.00004953533,0.00002480973,0.002217245,0.0003274254,0.002060472,0.006237389,0.006757599,0.8144971],"study_design_scores_gemma":[0.00685331,0.0002554263,0.2415863,0.001427059,0.0003571455,0.00002220177,0.02804833,0.2715252,0.000696954,0.2551898,0.1915799,0.002458348],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908412,0.0001754431,0.005150036,0.0004295392,0.001248539,0.0002041846,0.000006056167,0.0001012892,0.001843709],"genre_scores_gemma":[0.9970076,0.000009971174,0.001094918,0.001287636,0.0004322713,0.00001270536,0.00003359201,0.00001056516,0.0001107365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8120387,"threshold_uncertainty_score":0.5774105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1455324133709903,"score_gpt":0.3787099456655001,"score_spread":0.2331775322945098,"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."}}