{"id":"W4399194230","doi":"10.24319/jtpk.15.161-172","title":"DETERMINASI STRUKTUR STOK IKAN KEMBUNG LELAKI MENGGUNAKAN METODE PCR-RFLP DI WPP-NRI 711, 572, DAN 573","year":2024,"lang":"id","type":"article","venue":"Jurnal Teknologi Perikanan dan Kelautan","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Physics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001129095,0.001303808,0.001343403,0.0002177699,0.001378978,0.00160319,0.001853967,0.001088049,0.001005607],"category_scores_gemma":[0.0004621994,0.0006690886,0.0009387691,0.001713533,0.0007833014,0.001189783,0.000643419,0.00173392,0.0007109857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005638333,"about_ca_system_score_gemma":0.0003435605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005220966,"about_ca_topic_score_gemma":0.002410128,"domain_scores_codex":[0.9922634,0.0008284376,0.001749062,0.001993712,0.001240006,0.00192533],"domain_scores_gemma":[0.9969133,0.0008085088,0.0006224223,0.00063841,0.0002436988,0.0007737296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000393499,0.0008736812,0.07145102,0.0004555813,0.001271279,0.003139255,0.003693079,0.00002850255,0.1747043,0.01181941,0.01496098,0.7172094],"study_design_scores_gemma":[0.001583864,0.005671631,0.4272209,0.001884338,0.001376903,0.00149111,0.01576202,0.008589768,0.01478518,0.003299266,0.5139471,0.004387968],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724593,0.006715349,0.00006380607,0.0103758,0.002485941,0.0009081759,0.0001650182,0.0007482274,0.006078388],"genre_scores_gemma":[0.981289,0.001452388,0.0002137826,0.0009759517,0.002689633,0.0000864216,0.000219508,0.00003816076,0.0130352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7128214,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162960308667546,"score_gpt":0.2596689527817231,"score_spread":0.2280393496950477,"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."}}