{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003317483,0.0006775334,0.0004583987,0.0006884063,0.0004770472,0.00120379,0.000437011,0.0005709148,0.01358479],"category_scores_gemma":[0.0004067671,0.000263296,0.0005689898,0.0007043771,0.000329315,0.0009206841,0.0006468355,0.001383832,0.003056605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003738026,"about_ca_system_score_gemma":0.0005475915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009374079,"about_ca_topic_score_gemma":0.001878629,"domain_scores_codex":[0.9996623,0.000044887,0.0000256672,0.00007547256,0.0001490421,0.00004270218],"domain_scores_gemma":[0.9997837,0.00003732264,0.00005089888,0.00002288421,0.00007321795,0.00003200459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001184662,0.0004621559,0.003169381,0.002902094,0.000146797,0.000998383,0.0004424928,0.0004710649,0.7536712,0.00399198,0.004567503,0.2279922],"study_design_scores_gemma":[0.00007890596,0.002428188,0.02156088,0.0003802179,0.000305036,0.002290169,0.0006245307,0.001150919,0.6416461,0.001977364,0.3274823,0.00007534158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707526,0.05369064,0.04523329,0.002173442,0.001615602,0.00076994,0.004647473,0.0017146,0.182629],"genre_scores_gemma":[0.7693657,0.0200011,0.03908357,0.001246295,0.0002321274,0.0003595648,0.002957855,0.0004645577,0.1662893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358479,"threshold_uncertainty_score":0.04544568,"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."}}