{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003458334,0.001113356,0.001251769,0.001520856,0.0003406684,0.0002829239,0.0006644961,0.0003217541,0.001917893],"category_scores_gemma":[0.0002917839,0.001074728,0.0002090028,0.00206841,0.00001621941,0.0003803102,0.0006312612,0.00109543,0.0001141169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928427,"about_ca_system_score_gemma":0.0006347651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005245319,"about_ca_topic_score_gemma":0.0118484,"domain_scores_codex":[0.9956996,0.00006175409,0.001300899,0.0009437796,0.0006871681,0.001306772],"domain_scores_gemma":[0.9988733,0.0001793028,0.0001483524,0.0004779632,0.00008090623,0.0002401964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002578673,0.0004933569,0.09109268,0.02341849,0.004834963,0.0006169696,0.1178879,0.6037148,0.001032903,0.01590301,0.0217505,0.1166757],"study_design_scores_gemma":[0.0203535,0.002293983,0.3464101,0.01398955,0.0009718635,0.0001732545,0.04199745,0.06203999,0.007918083,0.002498862,0.4790379,0.02231553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8444808,0.000849653,0.002569346,0.003153399,0.003443087,0.004501973,0.000165827,0.0005853756,0.1402505],"genre_scores_gemma":[0.8572391,0.003157048,0.02063747,0.000397021,0.001074864,0.001472745,0.001495818,0.0006367757,0.1138891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5416749,"threshold_uncertainty_score":0.9991703,"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."}}