{"id":"W2943390543","doi":"10.1080/24701475.2019.1593667","title":"Facebook’s evolution: development of a platform-as-infrastructure","year":2019,"lang":"en","type":"article","venue":"Internet Histories","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft","keywords":"Adaptability; Social media; TRACE (psycholinguistics); Scope (computer science); Computer science; Affordance; Data science; Implementation; World Wide Web; Human–computer interaction; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006456163,0.0001257155,0.0001766662,0.0001065799,0.00003143666,0.0001338206,0.0001985582,0.00005661467,0.001388541],"category_scores_gemma":[0.00001599091,0.0001141981,0.00005209326,0.0000646629,0.00004371896,0.002157345,0.0001421538,0.00006573732,0.002026272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996397,"about_ca_system_score_gemma":0.00005262161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001670336,"about_ca_topic_score_gemma":0.0001185026,"domain_scores_codex":[0.9993101,1.575802e-7,0.00027467,0.0001549003,0.0001059623,0.0001541474],"domain_scores_gemma":[0.9995994,0.000007280647,0.0001809972,0.0001374012,0.00006610127,0.000008801365],"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":[0.0001986136,0.00005396509,0.0273406,0.0004408024,0.0001079193,0.000003695603,0.002327994,0.0001284186,0.0004155227,0.92716,0.02522368,0.01659883],"study_design_scores_gemma":[0.0002792563,0.00001343655,0.003136213,0.00004072293,0.000007566764,0.000002424905,0.001035073,0.0002970019,0.0002483883,0.01780277,0.9769289,0.0002082671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7621096,0.00002696668,0.0001445877,0.00001203742,0.001021553,0.0001242782,8.580032e-7,0.00004240092,0.2365177],"genre_scores_gemma":[0.9893934,2.8478e-7,0.0002566139,0.0001604854,0.0001601037,0.000008227313,0.00001884789,0.00001408468,0.009987972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9517052,"threshold_uncertainty_score":0.9995243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00899544557198228,"score_gpt":0.177339160589858,"score_spread":0.1683437150178757,"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."}}