{"id":"W4405259003","doi":"10.5267/j.dsl.2024.11.004","title":"Factors affecting marine economic development: evidence from central coastal provinces, Vietnam","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine industry; Geography; Marine conservation; Variables; Fishery; Environmental protection; Biology","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":[0.0006746867,0.000192912,0.0001713154,0.001001735,0.0007495907,0.0008521833,0.0002788799,0.0001134833,0.001334041],"category_scores_gemma":[0.002261415,0.0002049897,0.0002089807,0.002545967,0.0008257449,0.000363223,0.000669434,0.0003059297,0.00008211149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183976,"about_ca_system_score_gemma":0.00453622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2670743,"about_ca_topic_score_gemma":0.3757966,"domain_scores_codex":[0.9996235,0.00009921961,0.00003288533,0.00005805294,0.00007946802,0.0001068067],"domain_scores_gemma":[0.9976019,0.0006545128,0.0007157282,0.00008636652,0.0004597617,0.0004818075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002815123,0.00003286313,0.9859972,0.0001545252,0.00005835992,0.0003353098,0.004499629,0.000129832,0.0001231225,0.0004002988,0.0003011347,0.007939439],"study_design_scores_gemma":[0.000002128422,0.00001271998,0.9867699,0.00009021457,0.00001345698,0.00006710395,0.0115877,0.00009184942,0.00004657144,0.000036959,0.001278324,0.000003088923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959573,0.0007036473,0.00004069135,0.0002288008,0.00000521294,0.000008979657,0.0002627253,0.000001060234,0.002791525],"genre_scores_gemma":[0.9989877,0.0006395694,0.00004065403,0.0000226359,0.000001795679,0.00000437099,0.0001157659,6.772237e-7,0.00018686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2670743,"threshold_uncertainty_score":0.5310396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011520824148749,"score_gpt":0.2496891633281116,"score_spread":0.2295739550866241,"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."}}