{"id":"W3181790719","doi":"10.53514/jc.v1i1.46","title":"PENERAPAN METODE WEIGHT PRODUCT (WP) DALAM SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN PENENTUAN PERALATAN PANCING","year":2021,"lang":"id","type":"article","venue":"Journal Computer Science and Informatic Systems J-Cosys","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Mathematics; Art","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"],"consensus_categories":[],"category_scores_codex":[0.01411094,0.001164352,0.001992394,0.001313677,0.004173168,0.01842801,0.004181887,0.0002782286,0.00004818999],"category_scores_gemma":[0.0008449566,0.0009912152,0.0004300905,0.003413389,0.0006556805,0.01266372,0.002131883,0.002011758,0.0002805085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250789,"about_ca_system_score_gemma":0.004420314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482184,"about_ca_topic_score_gemma":0.00003588342,"domain_scores_codex":[0.9851633,0.001504217,0.003923771,0.001753597,0.005213538,0.002441605],"domain_scores_gemma":[0.9889199,0.0005196019,0.002841493,0.002424248,0.003467045,0.001827754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001594094,0.002271294,0.05114212,0.02160435,0.002559618,0.00607061,0.3973413,0.02230774,0.04523355,0.02338752,0.06423651,0.363686],"study_design_scores_gemma":[0.001622184,0.0005287942,0.008089732,0.003758172,0.0001210031,0.02508417,0.00306811,0.903032,0.001483671,0.00002046558,0.05170212,0.001489556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6020712,0.01832362,0.2870299,0.004430421,0.07152458,0.00411409,0.00002513337,0.0008124912,0.01166859],"genre_scores_gemma":[0.9762644,0.0004975102,0.01566154,0.0004708595,0.003983775,0.00003951283,0.00001524765,0.00007649215,0.002990701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8807243,"threshold_uncertainty_score":0.9992538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855880841105892,"score_gpt":0.2394150418157417,"score_spread":0.2208562334046827,"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."}}