{"id":"W4412899600","doi":"10.1108/idd-10-2024-0155","title":"Harnessing the potential of AI and data analytics for infonomics in developing countries: an architectural model and framework","year":2025,"lang":"en","type":"article","venue":"Information Discovery and Delivery","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Data science; Analytics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007068978,0.0008712204,0.0004312447,0.007233127,0.002770859,0.01236102,0.001742536,0.002033821,0.00274764],"category_scores_gemma":[0.006089326,0.000626295,0.001043299,0.006844584,0.009104366,0.01142365,0.006259874,0.002441446,0.0007948258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00544008,"about_ca_system_score_gemma":0.01457165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009200945,"about_ca_topic_score_gemma":0.01204456,"domain_scores_codex":[0.9964471,0.002209234,0.0002786453,0.000264838,0.0004882311,0.0003119808],"domain_scores_gemma":[0.9956439,0.002116119,0.0004726313,0.0005196452,0.0008132917,0.0004345542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001535672,0.00003953146,0.002233441,0.0005165626,0.00003293346,0.0003127081,0.00428499,0.004760983,0.0006707436,0.9459332,0.00273741,0.03846214],"study_design_scores_gemma":[0.00002201766,0.00009498399,0.002818751,0.003787322,0.0001543066,0.0008605514,0.02578488,0.02331097,0.0019219,0.6325749,0.3085791,0.00009038955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05885331,0.01388791,0.6144533,0.06795223,0.0004719853,0.001143776,0.0008156295,0.0006816399,0.2417402],"genre_scores_gemma":[0.4230354,0.01274242,0.5526513,0.001778004,0.0000935572,0.0008471597,0.0006386752,0.0001112834,0.008102317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01236102,"threshold_uncertainty_score":0.03947079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04958489490764018,"score_gpt":0.2998732581055862,"score_spread":0.2502883631979461,"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."}}