{"id":"W3171411693","doi":"10.21810/jicw.v4i1.2908","title":"A world without digital inclusivity","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"ICT Impact and Policies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Panel discussion; Session (web analytics); Media studies; Digital divide; Political science; Sociology; Library science; Computer science; World Wide Web; Medicine; Law; Business; Information and Communications Technology; Advertising","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001737537,0.0001045095,0.000170131,0.00006394436,0.000075923,0.00008947373,0.0001563125,0.00002870032,0.00007377002],"category_scores_gemma":[0.00006711714,0.0000659561,0.00005655569,0.0001735659,0.00007048689,0.0002027904,0.00005493169,0.0002376239,0.00001104399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001915624,"about_ca_system_score_gemma":0.00003256914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006582396,"about_ca_topic_score_gemma":0.00002300919,"domain_scores_codex":[0.9994361,0.00002074161,0.0002312158,0.00002160216,0.0001353825,0.0001549665],"domain_scores_gemma":[0.9994871,0.0001264458,0.00005619838,0.0001149489,0.0001306038,0.00008469482],"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":[0.0004921181,0.0002379121,0.06326862,0.0005752019,0.001439009,0.0002632739,0.2942944,0.02566161,0.03121882,0.006117154,0.02117826,0.5552536],"study_design_scores_gemma":[0.0005535677,0.0003752738,0.01629865,0.0007749055,0.0002718459,0.004342289,0.03084371,0.005560105,0.3310282,0.002760555,0.6062114,0.0009794222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802859,0.007099809,0.004166244,0.0006528745,0.0003210331,0.00003833696,0.00001000075,0.00002787466,0.007397966],"genre_scores_gemma":[0.9969233,0.001719713,0.00002379391,0.0001714979,0.0001748586,2.376476e-7,7.196217e-7,0.0000116866,0.000974243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850332,"threshold_uncertainty_score":0.2689612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326469184563108,"score_gpt":0.271010012929682,"score_spread":0.2477453210840509,"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."}}