{"id":"W4415301602","doi":"10.58837/chula.the.2022.1407","title":"Developing policy instruments to tackle abandoned, lost, or discarded fishing gear problem in Thailand","year":2022,"lang":"","type":"dissertation","venue":"","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Ambiguity; Key (lock); Root cause; Commercial fishing; Developing country; International waters","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02242029,0.0006728643,0.0007403441,0.006069408,0.002090824,0.006842028,0.001694292,0.001983043,0.002682639],"category_scores_gemma":[0.02366964,0.000510184,0.0009786381,0.006747693,0.001315806,0.004579525,0.004093921,0.00179072,0.0002131274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008596061,"about_ca_system_score_gemma":0.07350685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019187,"about_ca_topic_score_gemma":0.0267259,"domain_scores_codex":[0.9852923,0.009253593,0.0020464,0.0005860876,0.001842084,0.0009795895],"domain_scores_gemma":[0.9786372,0.01110783,0.00362299,0.0003476412,0.005015926,0.001268402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004188534,0.0006935464,0.04404266,0.1862172,0.001250062,0.008682263,0.03935154,0.01827998,0.00644876,0.09867454,0.02708308,0.5688576],"study_design_scores_gemma":[0.0003479171,0.001377023,0.04931159,0.195201,0.003152699,0.00269832,0.1658768,0.01741549,0.008586653,0.04787267,0.5077798,0.0003801321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2467492,0.4155405,0.08381312,0.1172626,0.002074134,0.01176967,0.002842823,0.0005204606,0.1194275],"genre_scores_gemma":[0.602667,0.2912055,0.08226418,0.008489248,0.0002175743,0.00619397,0.001129176,0.00006133987,0.007772152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242029,"threshold_uncertainty_score":0.1185712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413112424226251,"score_gpt":0.2691434253363104,"score_spread":0.2550123010940478,"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."}}