{"id":"W4391847472","doi":"10.29303/abdiinsani.v11i1.1317","title":"PEMANFAATAN PERALATAN PENGOLAHAN IKAN BERBENTUK MESIN UNTUK PENINGKATAN KAPASITAS PRODUKSI PADA KELOMPOK PENGOLAH DAN PEMASAR IKAN DI KAWASAN KONSERVASI PERAIRAN TWP GILI MATRA","year":2024,"lang":"en","type":"article","venue":"Jurnal Abdi Insani","topic":"Food and Agricultural Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Fish <Actinopterygii>; Environmental science; Agricultural science; Operations management; Engineering; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008875898,0.0009839598,0.0008333069,0.0001053318,0.00180416,0.001898489,0.001823349,0.0003370816,0.001136095],"category_scores_gemma":[0.00009015691,0.0003955384,0.0006774798,0.001966918,0.0003947002,0.001764358,0.0004120164,0.001085276,0.0003308333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423748,"about_ca_system_score_gemma":0.00009974592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176713,"about_ca_topic_score_gemma":0.005463757,"domain_scores_codex":[0.993732,0.0003435917,0.001064099,0.001800771,0.001473433,0.001586151],"domain_scores_gemma":[0.997984,0.0002999734,0.0002817731,0.0003449921,0.0002168307,0.0008724598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001750992,0.000687134,0.03938777,0.000286136,0.0002758613,0.0008018059,0.003593904,0.00003484561,0.8849034,0.006100444,0.0176701,0.04608346],"study_design_scores_gemma":[0.0006269045,0.002467182,0.7795168,0.0008631563,0.0002515972,0.00140851,0.01039356,0.001077659,0.01345937,0.000991136,0.1861585,0.0027856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976151,0.001645019,0.00000211909,0.01518847,0.001097786,0.0008206601,0.0002342513,0.0006966058,0.004164107],"genre_scores_gemma":[0.9934322,0.000253915,0.0001825264,0.0004963799,0.002230455,0.00005186999,0.0003979614,0.00001693739,0.00293777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.871444,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567823689609219,"score_gpt":0.2191171352812417,"score_spread":0.2034388983851495,"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."}}