{"id":"W4206849832","doi":"","title":"Manufacturing plant layout supported with data mining technique","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Manufacturing engineering; Computer science; Engineering","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":[0.002442579,0.0004302958,0.0003687516,0.0002600047,0.0001922926,0.0002290787,0.001369342,0.0003530342,0.00005772373],"category_scores_gemma":[0.0002838397,0.0004400436,0.00005751548,0.0001419369,0.0001282051,0.000172299,0.00113952,0.000833074,0.00000940387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324912,"about_ca_system_score_gemma":0.00009539581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002134894,"about_ca_topic_score_gemma":0.0007146252,"domain_scores_codex":[0.9975258,0.0004721088,0.0004740509,0.0007476741,0.0003396264,0.0004407801],"domain_scores_gemma":[0.9957097,0.0006090779,0.0002542201,0.00289408,0.0003715616,0.0001613846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000857776,0.0005671375,0.0009990173,0.002233823,0.0006542474,0.0002086438,0.00901652,0.8757318,0.002018514,0.006218628,0.004804017,0.09746189],"study_design_scores_gemma":[0.0008003323,9.414281e-7,0.001137882,0.004200063,0.0001729006,0.00009304673,0.0002144882,0.4296029,0.5378426,0.001444155,0.02278029,0.001710452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01185157,0.0002916967,0.9612986,0.0002483117,0.0001776775,0.0004896604,0.0003333662,0.001113728,0.02419539],"genre_scores_gemma":[0.5618233,0.0003616626,0.4311489,0.000022393,0.00003323031,0.00005614696,0.005398659,0.0001114888,0.001044207],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5499718,"threshold_uncertainty_score":0.9998052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102488205575099,"score_gpt":0.227628264425409,"score_spread":0.2066033823696581,"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."}}