{"id":"W2158991829","doi":"10.1109/tpc.2009.2035573","title":"Culture, Communication, and ICT for Development: A Caribbean Study","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Professional Communication","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Information and Communications Technology; Knowledge management; Work (physics); Professional communication; Process (computing); Service (business); Business; Public relations; Sociology; Engineering; Computer science; Political science; Marketing; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001081748,0.0001211644,0.0001295041,0.00007608666,0.002930541,0.00009660372,0.0005852368,0.0001098697,0.00005989839],"category_scores_gemma":[0.00001877629,0.0001112901,0.00004035345,0.000239804,0.0001307334,0.0004314494,0.000005752592,0.0002637319,0.000008337957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203371,"about_ca_system_score_gemma":0.0001644147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003790302,"about_ca_topic_score_gemma":0.004905917,"domain_scores_codex":[0.9984785,0.0005063145,0.0002689469,0.0001785681,0.0003858631,0.0001818029],"domain_scores_gemma":[0.9987369,0.0003545062,0.000129234,0.000489049,0.0002019828,0.0000883683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008061859,0.008594247,0.002994162,0.00006579608,0.000336257,5.373766e-7,0.5678553,0.0001103607,0.000456812,0.1493411,0.008755874,0.2606834],"study_design_scores_gemma":[0.006412489,0.001104571,0.04530364,0.0005684362,0.0002616016,0.00000254186,0.3072629,0.0006168614,0.002742488,0.03173086,0.6025467,0.001446986],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8232805,0.002632465,0.03782408,0.06743254,0.001109773,0.008709029,0.0000889156,0.0008300305,0.05809268],"genre_scores_gemma":[0.990936,0.0003044422,0.004263902,0.0006465304,0.00002127727,0.000240883,0.00003308777,0.000008749561,0.003545091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5937908,"threshold_uncertainty_score":0.9983675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04596314737609563,"score_gpt":0.365084448886531,"score_spread":0.3191213015104353,"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."}}