{"id":"W3084323461","doi":"10.17844/jphpi.v23i2.31124","title":"Daya Dukung Bahan Baku Industri dan UMKM Berbasis Potensi Stok pada Wilayah Pengelolaan Perikanan","year":2020,"lang":"id","type":"article","venue":"Jurnal Pengolahan Hasil Perikanan Indonesia","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00107024,0.002178405,0.002338884,0.0003956721,0.002044291,0.001471013,0.00291013,0.001216702,0.00311763],"category_scores_gemma":[0.0002816033,0.002244118,0.001091351,0.002585489,0.0008933453,0.002121089,0.002338788,0.003362833,0.00265396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114576,"about_ca_system_score_gemma":0.0006599224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006141542,"about_ca_topic_score_gemma":0.003388808,"domain_scores_codex":[0.987553,0.001069971,0.002539123,0.003056673,0.002860521,0.002920707],"domain_scores_gemma":[0.9929625,0.0002033146,0.0013888,0.001916541,0.0002083258,0.003320536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001837827,0.002150415,0.6170299,0.001335667,0.001365182,0.005536886,0.01655325,0.001043934,0.116244,0.0004265225,0.06625929,0.1702171],"study_design_scores_gemma":[0.005960147,0.003322614,0.4677776,0.0007223868,0.001055811,0.00120247,0.01410692,0.009358441,0.01155099,0.00002187895,0.4792434,0.005677342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672742,0.001207688,0.0001110851,0.009180856,0.001345929,0.001791125,0.0002477042,0.0003499674,0.0184914],"genre_scores_gemma":[0.9894122,0.0005622519,0.0001453617,0.00345863,0.002272531,0.0001201289,0.0001689226,0.0003985695,0.003461327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129841,"threshold_uncertainty_score":0.9995655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947751001528313,"score_gpt":0.214040923457658,"score_spread":0.1945634134423749,"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."}}