{"id":"W4412012920","doi":"10.32781/cakrawala.v19i1.759","title":"Optimalisasi Analisis Harga Komoditas Daging dan Telur Ayam di Jawa Timur dengan Pendekatan Regresi Semiparametrik","year":2025,"lang":"id","type":"article","venue":"CAKRAWALA","topic":"Livestock Farming and Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Food science; Physics; 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"],"consensus_categories":[],"category_scores_codex":[0.0008439978,0.0006716858,0.0007201074,0.0001917444,0.001155514,0.0007660962,0.001312083,0.0003535767,0.0004196666],"category_scores_gemma":[0.0003426242,0.0003602964,0.0004211851,0.001921991,0.0002995606,0.0003967557,0.0008497183,0.0006237605,0.0002149361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654584,"about_ca_system_score_gemma":0.00007750932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328578,"about_ca_topic_score_gemma":0.0004114988,"domain_scores_codex":[0.9958181,0.0004143955,0.0007275683,0.001311562,0.0006059216,0.001122435],"domain_scores_gemma":[0.998025,0.0005430158,0.0003055926,0.0005297223,0.0001989462,0.0003977047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002756431,0.001687971,0.1285956,0.0007253598,0.001468903,0.0005435866,0.002051988,0.0004472861,0.02687626,0.01444916,0.7110022,0.1118761],"study_design_scores_gemma":[0.001135515,0.0008815759,0.3013206,0.0008120465,0.0008681676,0.00003045674,0.009556938,0.001220626,0.009917829,0.0004034227,0.6720499,0.001802945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344848,0.003185244,0.00007517912,0.007887906,0.001962665,0.0009499852,0.0001781578,0.0003513066,0.0509247],"genre_scores_gemma":[0.9556147,0.000490752,0.0001935386,0.00132698,0.0005775486,0.00005858682,0.0003220956,0.000009961567,0.04140586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172725,"threshold_uncertainty_score":0.9998849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744530381672655,"score_gpt":0.2538314606231044,"score_spread":0.2363861568063778,"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."}}