{"id":"W4400001495","doi":"10.51132/teknologika.v14i1.364","title":"SIMULASI PROSES PRODUKSI KERUPUK KULIT DOROKDOK PD.ABC SUKAREGANG – GARUT","year":2024,"lang":"id","type":"article","venue":"Jurnal Teknologika","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003289215,0.000596904,0.0004685933,0.0003111437,0.0003426576,0.001081827,0.0005330731,0.0006311361,0.01526635],"category_scores_gemma":[0.000685027,0.0003123054,0.0005523138,0.0002571935,0.000283345,0.0006383351,0.0004093818,0.0007735998,0.002869758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004407894,"about_ca_system_score_gemma":0.0007075611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008105832,"about_ca_topic_score_gemma":0.005172521,"domain_scores_codex":[0.9997517,0.00003651866,0.00001496578,0.00003468347,0.0001313468,0.00003063845],"domain_scores_gemma":[0.9996507,0.0001091839,0.00002537424,0.00004857692,0.0001484999,0.00001769403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001856269,0.0004032378,0.01111451,0.001772035,0.0001477255,0.0008248485,0.0007513358,0.6287623,0.1731473,0.01286731,0.02230991,0.1460433],"study_design_scores_gemma":[0.0001753673,0.0007582127,0.005940633,0.0001055816,0.0001448994,0.0003165506,0.0003217024,0.8208414,0.1044635,0.002442226,0.0644168,0.00007316228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5562255,0.001375758,0.2864507,0.001238233,0.0006068443,0.0005087365,0.005191017,0.01425724,0.1341459],"genre_scores_gemma":[0.9314355,0.0005288185,0.02470184,0.0001027185,0.00001728746,0.000174093,0.001845958,0.0004603384,0.04073343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526635,"threshold_uncertainty_score":0.05107105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662301630875063,"score_gpt":0.2475549825882359,"score_spread":0.2309319662794853,"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."}}