{"id":"W3153118118","doi":"10.22230/src.2021v12n1a385","title":"Advanced Introduction to Platform Economics.","year":2021,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009252803,0.0009420369,0.0005173215,0.002159809,0.0006503871,0.002817393,0.0009052287,0.002794569,0.04735077],"category_scores_gemma":[0.002469037,0.0004342149,0.0006475763,0.001783322,0.001965499,0.005171366,0.001410593,0.003607781,0.01770205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986894,"about_ca_system_score_gemma":0.001023182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710219,"about_ca_topic_score_gemma":0.001697722,"domain_scores_codex":[0.9994173,0.0001342495,0.00002920001,0.00009540871,0.0002635935,0.00006028679],"domain_scores_gemma":[0.9990557,0.0005020717,0.00005075241,0.00009514271,0.000217648,0.00007872608],"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":[0.00001199437,0.00002448403,0.0001468616,0.0001644342,0.0000107607,0.00008388328,0.0000882004,0.0004987776,0.0001962695,0.7857354,0.170936,0.04210298],"study_design_scores_gemma":[0.000004327122,0.00001008103,0.0003295364,0.0001597428,0.000004795546,0.0001418782,0.00004049943,0.0009573661,0.000103101,0.5361396,0.462099,0.00001004838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002316564,0.1318952,0.07202396,0.04897194,0.01669833,0.00006745947,0.0009957753,0.00071084,0.72632],"genre_scores_gemma":[0.128769,0.1481124,0.04396022,0.0152083,0.03632531,0.0003357859,0.0009229313,0.0008535341,0.6255125],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04735077,"threshold_uncertainty_score":0.1584041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07166147016648523,"score_gpt":0.3213178235393458,"score_spread":0.2496563533728606,"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."}}