{"id":"W4297998198","doi":"10.32920/ryerson.14664468.v2","title":"Google's affair with Open Source Software: from browser wars to mobile domination","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Battle; World Wide Web; Mobile device; Computer science; Control (management); Social media; Software; Internet privacy; Mobile Web; Mobile technology; Multimedia; Operating system","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":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.0007916684,0.000542721,0.0006108818,0.0004126978,0.0004708212,0.002363347,0.009041532,0.0002373748,0.002155918],"category_scores_gemma":[0.0001625759,0.0005119299,0.0001182867,0.001619579,0.00006312908,0.00104322,0.02554245,0.001009888,0.000388642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363139,"about_ca_system_score_gemma":0.0007377494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115405,"about_ca_topic_score_gemma":0.0004623604,"domain_scores_codex":[0.9955622,0.0002141256,0.0006722382,0.001938155,0.0010906,0.0005227088],"domain_scores_gemma":[0.9951758,0.0004249868,0.0004486381,0.003267495,0.0004488196,0.000234199],"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":[0.0002736273,0.001499138,0.009516994,0.0001368895,0.0008275209,0.000161238,0.01918668,0.2069053,0.0001972034,0.03108907,0.1981811,0.5320252],"study_design_scores_gemma":[0.001842016,0.0008543445,0.004265408,0.0002901993,0.00009182179,0.00002752869,0.001458604,0.009554077,0.00109846,0.01678186,0.9606885,0.003047198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02067404,0.0000324007,0.9647133,0.003281089,0.0008927188,0.004103966,0.0001538351,0.001279131,0.004869468],"genre_scores_gemma":[0.09181085,0.000003228043,0.882503,0.002968057,0.0001592044,0.006116441,0.0005249687,0.0001221822,0.01579211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7625074,"threshold_uncertainty_score":0.9997332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779978601577226,"score_gpt":0.2792538498614097,"score_spread":0.2614540638456374,"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."}}