{"id":"W4395674776","doi":"10.5539/gjhs.v16n5p22","title":"Social Acceptance of Mobile Health Technologies Among the Young Population in Nigeria","year":2024,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Socioeconomics; Environmental health; Business; Medicine; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007135246,0.0001820815,0.0003122161,0.0006185115,0.0009367347,0.001242749,0.000153922,0.0004233576,0.001585838],"category_scores_gemma":[0.00209531,0.00025027,0.0003084733,0.0004237589,0.0004235861,0.0006563728,0.0006703668,0.0005905168,0.0002057746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004857662,"about_ca_system_score_gemma":0.0007782566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062451,"about_ca_topic_score_gemma":0.01511642,"domain_scores_codex":[0.9996586,0.00007840125,0.00004220799,0.00003418799,0.00008872645,0.0000978067],"domain_scores_gemma":[0.9990265,0.0002422224,0.0003072121,0.00002529536,0.0001526745,0.0002460464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001895624,0.0001417633,0.9784178,0.00004274847,0.000009109559,0.0004415736,0.01370576,0.00001233866,0.0003085554,0.0001373986,0.0001243167,0.006639666],"study_design_scores_gemma":[0.000003330478,0.0002180568,0.9538016,0.0001133897,0.00002261369,0.0005322267,0.04384556,0.00011935,0.0001003067,0.0001042267,0.001128118,0.00001127556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990444,0.0001466834,0.00002629851,0.00008335251,0.000005616058,0.00001275758,0.00003137091,5.698943e-7,0.0006491209],"genre_scores_gemma":[0.9993586,0.0002624893,0.00003511037,0.00005838597,0.000003307958,0.00001257875,0.00002280774,5.322622e-7,0.0002462491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062451,"threshold_uncertainty_score":0.02112538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07581318647887231,"score_gpt":0.4586386263160555,"score_spread":0.3828254398371831,"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."}}