{"id":"W124600208","doi":"10.1007/978-3-642-39188-0_12","title":"The Evolving Global Public Inclusive Infrastructure (GPII)","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Sustenance; Cloud computing; Computer science; Product (mathematics); Population; Independence (probability theory); Computer security; Telecommunications","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008900923,0.0004299295,0.000327572,0.000362985,0.001394259,0.001142076,0.002187138,0.0005087108,0.0001347573],"category_scores_gemma":[0.0004485388,0.0003080239,0.00007623813,0.001057943,0.001849339,0.0008725488,0.003182434,0.0009767771,0.0001622246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847399,"about_ca_system_score_gemma":0.0003442825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003583214,"about_ca_topic_score_gemma":0.00009887371,"domain_scores_codex":[0.997519,0.000008327875,0.0004165386,0.0007343621,0.0006680196,0.0006537509],"domain_scores_gemma":[0.9981685,0.0001399886,0.0004196693,0.0005553472,0.000700195,0.00001635831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002011444,0.000005424204,0.0008285046,0.00002141328,0.00001796177,0.00000900398,0.00007586068,0.0001167626,0.000002469309,0.4646354,0.0007586295,0.5335265],"study_design_scores_gemma":[0.0001289125,0.000008152324,0.003064469,0.00009119941,0.000007954658,0.000006353374,0.000003024605,0.01607733,0.00001214302,0.934282,0.04586789,0.0004505757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007746082,0.0005133144,0.8180234,0.008699655,0.004060226,0.000827893,0.000002701554,0.0002875228,0.1668107],"genre_scores_gemma":[0.9464782,0.00003626035,0.03882778,0.01072528,0.003048766,0.00004630075,0.00002449525,0.00005540773,0.0007574412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9457037,"threshold_uncertainty_score":0.9999372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252975873859121,"score_gpt":0.2247465946898387,"score_spread":0.2122168359512475,"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."}}