{"id":"W4394397299","doi":"10.6084/m9.figshare.6125390","title":"Selection of rework measurement methodology utilizing AHP method","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rework; Analytic hierarchy process; Selection (genetic algorithm); Computer science; Reliability engineering; Operations research; Engineering; Artificial intelligence; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001069092,0.0002620774,0.0005630393,0.000484112,0.0001238308,0.00004228033,0.002273065,0.0007870623,0.02595892],"category_scores_gemma":[0.004579767,0.000250197,0.0001823853,0.00104455,0.00001794248,0.0001881527,0.000975051,0.0005394275,0.0007381907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008517857,"about_ca_system_score_gemma":0.0001995044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006324941,"about_ca_topic_score_gemma":0.000263574,"domain_scores_codex":[0.997456,0.0006236953,0.0004191936,0.000723819,0.0004655615,0.0003117248],"domain_scores_gemma":[0.9970198,0.000368595,0.0005569727,0.001506899,0.0004895054,0.00005827207],"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":[0.000003704281,0.00002389936,3.743447e-7,0.0001555777,0.0001411676,0.00000540828,0.000007476618,0.000001965486,0.00001931183,0.00003751267,0.9963265,0.003277105],"study_design_scores_gemma":[0.00007036052,0.00008754687,0.00002337674,0.0006441775,0.0000867832,0.00002316317,0.00000336975,0.0004382744,0.002790715,0.0006466586,0.9949625,0.0002230932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.672039e-8,0.0002491114,0.03290235,0.0000664997,0.0001618579,0.0001231615,0.9663048,0.0001445792,0.00004764757],"genre_scores_gemma":[0.000002613746,0.00001145066,0.1136216,0.0001301148,0.0001065079,0.00007375298,0.8860372,0.00000769322,0.000009028901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08071928,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2177225793360369,"score_gpt":0.3712425829819053,"score_spread":0.1535200036458684,"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."}}