{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003253965,0.0000766418,0.0001040611,0.00006008231,0.0002308871,0.00002370941,0.0006482085,0.0000360034,0.0008101298],"category_scores_gemma":[0.00004601205,0.00007160398,0.00003336646,0.001175744,0.001835086,0.0002665923,0.002719979,0.00006662295,0.0001035524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007929995,"about_ca_system_score_gemma":0.000007190134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491625,"about_ca_topic_score_gemma":0.0001376926,"domain_scores_codex":[0.9989161,0.00001305669,0.0001278069,0.0002833805,0.0003543937,0.0003051972],"domain_scores_gemma":[0.9996572,0.000004716184,0.00008152585,0.0001878976,0.000008916827,0.00005977407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000001461265,0.00002371989,0.03348583,0.000002517745,0.000001176623,7.256768e-7,0.0002828299,0.000001761523,0.003159593,0.01108454,0.0006298616,0.951326],"study_design_scores_gemma":[0.000113767,0.00005111338,0.9529033,0.000003751718,0.00000461136,6.554826e-7,0.0004441238,0.0000821423,0.001518668,0.02720449,0.0175421,0.0001312401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1479701,5.944428e-7,0.0004495583,0.001292439,0.0000688585,0.00009278789,6.113318e-7,0.00003744913,0.8500876],"genre_scores_gemma":[0.9979216,8.575643e-7,0.0005494226,0.00009248023,0.00003021043,0.000008672379,3.027284e-7,0.000004141013,0.001392258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511948,"threshold_uncertainty_score":0.8870354,"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."}}