{"id":"W1597740380","doi":"10.14710/kpl.v6i2.2730","title":"KAJIAN POTENSI PERIKANAN TANGKAP DAN PERTUMBUHAN JUMLAH KAPAL TANGKAP ( PURSE SEINE) DI KABUPATEN PEKALONGAN","year":2012,"lang":"en","type":"article","venue":"Kapal Jurnal Ilmu Pengetahuan dan Teknologi Kelautan","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Indonesian; Geography; Fishing; Oceanography; Geology; Biology","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001186193,0.001296536,0.00125929,0.0003172408,0.0009495752,0.0003651238,0.001965859,0.0006288709,0.002653592],"category_scores_gemma":[0.0002706333,0.001112824,0.000661574,0.0009736242,0.0007610589,0.001541406,0.001672971,0.001548902,0.001831134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007504603,"about_ca_system_score_gemma":0.0000950305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020943,"about_ca_topic_score_gemma":0.004240712,"domain_scores_codex":[0.9921858,0.0006005428,0.001385475,0.001482818,0.001482731,0.002862646],"domain_scores_gemma":[0.9957292,0.0001510734,0.0006947616,0.001672553,0.00008926952,0.001663109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002231015,0.000702732,0.9100199,0.00008814876,0.0002379794,0.0007520344,0.003216831,0.00007517303,0.01327305,0.001299031,0.006903552,0.06320845],"study_design_scores_gemma":[0.002076918,0.001162565,0.874981,0.0001408347,0.0003459591,0.002303386,0.004106417,0.001609109,0.001756728,0.0002852366,0.1086847,0.002547151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354324,0.000641741,0.0001741009,0.001180603,0.001492785,0.0009158525,0.0001078233,0.000624712,0.05943003],"genre_scores_gemma":[0.992055,0.00008581224,0.000917874,0.000566691,0.001182156,0.00009632066,0.0001435881,0.0002067605,0.004745772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017811,"threshold_uncertainty_score":0.9999786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341147364749796,"score_gpt":0.2192752850049575,"score_spread":0.2058638113574595,"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."}}