{"id":"W4390114837","doi":"10.1080/02681102.2023.2288843","title":"Readily available technologies in low-resource communities: a review and synthesis","year":2023,"lang":"en","type":"review","venue":"Information Technology for Development","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Resource (disambiguation); Scarcity; Knowledge management; Emerging technologies; Foundation (evidence); Empirical research; Quality (philosophy); Business; Public relations; Political science; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004992329,0.001187321,0.002522455,0.01445406,0.0007288758,0.003971879,0.001325235,0.001971237,0.005453755],"category_scores_gemma":[0.01744218,0.0006652952,0.002189954,0.01536987,0.001220207,0.004506107,0.001862183,0.001472384,0.0006389216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00275138,"about_ca_system_score_gemma":0.009721821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005078529,"about_ca_topic_score_gemma":0.01257288,"domain_scores_codex":[0.9969589,0.0008893816,0.0008800878,0.0002905276,0.0008260362,0.0001552249],"domain_scores_gemma":[0.9783462,0.01734797,0.002110469,0.0002710373,0.001706719,0.0002176255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008250428,0.00006512512,0.0005419304,0.6466308,0.0009231942,0.0001819606,0.0008409595,0.0003407859,0.0003401165,0.006412217,0.00591663,0.3377238],"study_design_scores_gemma":[0.00002443208,0.0001375849,0.00341974,0.6476541,0.004736725,0.0006268983,0.001341652,0.0001328907,0.0003880369,0.00294063,0.3385519,0.0000453924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002154942,0.9988058,0.00008548428,0.0001813278,0.00006949736,0.00001961148,0.00003090003,0.00000199891,0.0005898643],"genre_scores_gemma":[0.002031473,0.9974533,0.0002019352,0.0001431046,0.00003939843,0.00003085878,0.00002659026,0.000001178662,0.00007216866],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01445406,"threshold_uncertainty_score":0.02640224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04937731568655095,"score_gpt":0.2717418355152625,"score_spread":0.2223645198287116,"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."}}