{"id":"W3175013568","doi":"10.22230/cjc.2021v46n2a4053","title":"Making Open Development Inclusive: Lessons from IDRC Research.","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.05060676,0.0003839376,0.0005275503,0.002670978,0.009733291,0.01751597,0.00262691,0.003509117,0.01075985],"category_scores_gemma":[0.1018691,0.0004232825,0.0003926297,0.003089019,0.01802337,0.01662547,0.0126411,0.005157294,0.001910348],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01583491,"about_ca_system_score_gemma":0.03643189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081264,"about_ca_topic_score_gemma":0.02310848,"domain_scores_codex":[0.9623654,0.02497755,0.001109409,0.002131067,0.006211305,0.003205265],"domain_scores_gemma":[0.8353913,0.1136565,0.00420019,0.0152608,0.01866428,0.01282693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008692614,0.0003249085,0.004840183,0.000692989,0.00002315342,0.0003527992,0.1025878,0.0005509797,0.0005123654,0.6812496,0.01530739,0.1934708],"study_design_scores_gemma":[0.00005637067,0.0001521317,0.00390701,0.002302816,0.0000435135,0.0004417783,0.1403707,0.00122181,0.002055814,0.2797036,0.5696895,0.00005510424],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08606023,0.006991821,0.04964306,0.09995989,0.000740278,0.0002750153,0.00008651001,0.0002913913,0.7559519],"genre_scores_gemma":[0.9360788,0.004988521,0.022463,0.0066834,0.0001486406,0.0002610244,0.0000784729,0.0002896289,0.02900846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9973731,"threshold_uncertainty_score":0.2676374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2853206977150683,"score_gpt":0.4446847913391768,"score_spread":0.1593640936241084,"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."}}