{"id":"W7004981118","doi":"","title":"PEMETAAN EKSPOR DAN IMPOR KRUSTASEAYANG DIINVENTARISIR MELALUI BALAI BESAR KARANTINA IKAN,PENGENDALIAN MUTU DAN KEAMANAN HASIL PERIKANAN(BBKIPM) JAKARTA I","year":2023,"lang":"id","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Limiting; Population; Liquefied petroleum gas","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":[0.0007716277,0.0007824136,0.0006569861,0.001124499,0.001474902,0.003819819,0.0004898566,0.0009008637,0.01600481],"category_scores_gemma":[0.0008962627,0.0004320055,0.0007615192,0.001200734,0.0006403676,0.0009334409,0.001475394,0.001298259,0.004778469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407196,"about_ca_system_score_gemma":0.00260491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02315772,"about_ca_topic_score_gemma":0.04633275,"domain_scores_codex":[0.9989883,0.0001420951,0.00009019822,0.000156609,0.0004514167,0.0001713434],"domain_scores_gemma":[0.9992955,0.00008585053,0.0001627036,0.00005023143,0.0002998188,0.0001058599],"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":[0.001990466,0.001186481,0.2665101,0.004055899,0.0003839847,0.00682882,0.004913507,0.0008858775,0.1639754,0.005765519,0.03604198,0.507462],"study_design_scores_gemma":[0.00008748332,0.00147674,0.4809613,0.00158201,0.0004584375,0.007299742,0.01442516,0.001251888,0.1095451,0.002190001,0.3805211,0.0002010458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7476528,0.03483544,0.008743589,0.006825007,0.001220784,0.0007741102,0.006866634,0.0008195981,0.192262],"genre_scores_gemma":[0.7837098,0.01925925,0.01240454,0.001649803,0.0001581153,0.0003129297,0.003708544,0.0002295,0.1785676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02315772,"threshold_uncertainty_score":0.05354142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466794941323722,"score_gpt":0.1891251055684508,"score_spread":0.1744571561552136,"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."}}