{"id":"W2014567289","doi":"10.5539/ass.v9n2p135","title":"Social Influence in Using ICT among Fishermen in Malaysia","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Simple random sample; Feeling; Scope (computer science); Psychology; Descriptive statistics; Social psychology; Business; Socioeconomics; Sociology; Political science; Demography; Statistics; Computer science; Mathematics","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":[0.0007134981,0.000141815,0.0001664095,0.0007979543,0.001017417,0.0007448128,0.0001523526,0.0002982973,0.00169501],"category_scores_gemma":[0.002143198,0.0001470558,0.000201719,0.0005071844,0.000647397,0.0004707822,0.0006164247,0.0002840098,0.0001172612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138072,"about_ca_system_score_gemma":0.001161767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02965858,"about_ca_topic_score_gemma":0.06445342,"domain_scores_codex":[0.9994294,0.0001875319,0.00004809209,0.00004700564,0.0001489154,0.000138918],"domain_scores_gemma":[0.9987252,0.0004039959,0.0004429726,0.00002802689,0.0001475505,0.0002521434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003918243,0.00008916583,0.9611713,0.00005420372,0.00002211412,0.0003855567,0.02251311,0.00008950133,0.0006282335,0.0001911736,0.0001515151,0.014665],"study_design_scores_gemma":[0.000001520974,0.0001274407,0.9468322,0.00005481913,0.00001796421,0.000164244,0.05137393,0.000272205,0.0001369664,0.00005637463,0.0009506177,0.00001178908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999127,0.0000536044,0.00001815867,0.00007005294,0.000001350616,0.000003379934,0.000008149204,5.170924e-7,0.0007178293],"genre_scores_gemma":[0.9994947,0.0001085262,0.0000334813,0.00001461641,0.000001765632,0.000002685454,0.000006098543,2.734982e-7,0.0003379172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02965858,"threshold_uncertainty_score":0.05897188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06835031040527131,"score_gpt":0.3841883300451983,"score_spread":0.315838019639927,"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."}}