{"id":"W2115166173","doi":"10.5539/ass.v10n16p1","title":"Acceptance of Technology among Malaysian Fishermen","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Marketing","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":[0.000954196,0.000143405,0.0001664109,0.0007865825,0.0007016236,0.0008791307,0.000227096,0.000472957,0.002428235],"category_scores_gemma":[0.003493615,0.0001374073,0.0001885339,0.0004202329,0.0006323318,0.0007412442,0.0005445872,0.0003718655,0.0002757354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006225835,"about_ca_system_score_gemma":0.0005976762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149016,"about_ca_topic_score_gemma":0.01538603,"domain_scores_codex":[0.9993131,0.0001786875,0.00005331173,0.00005388463,0.0002649802,0.0001359519],"domain_scores_gemma":[0.9980454,0.0006385306,0.0006268773,0.0000727372,0.0003746325,0.0002417405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006095034,0.00008621927,0.937479,0.00007849964,0.00001940084,0.0003532731,0.03595075,0.0001342524,0.001934793,0.0003279774,0.000241311,0.02333355],"study_design_scores_gemma":[0.00000252961,0.0003878508,0.8816087,0.000161638,0.00001748875,0.0004344697,0.1130104,0.0004881683,0.0006322931,0.0001203421,0.00310024,0.00003590704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986799,0.00006661784,0.00004094964,0.0001112463,0.000001906307,0.000003532135,0.00001246416,8.596973e-7,0.00108245],"genre_scores_gemma":[0.9989917,0.0001340392,0.00005915302,0.00003692485,0.00000188089,0.000003940848,0.00001233015,4.329906e-7,0.0007596546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149016,"threshold_uncertainty_score":0.02284658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003338077670246595,"score_gpt":0.2025035291061241,"score_spread":0.1991654514358775,"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."}}