{"id":"W4243861185","doi":"10.1007/978-3-642-20617-7_100027","title":"Assembly Machine","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science","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":[0.0001702632,0.001299762,0.0006688649,0.001259714,0.0009805103,0.001511034,0.0009577711,0.0008170801,0.1585864],"category_scores_gemma":[0.0003430167,0.0004817551,0.0003915277,0.001368454,0.0005350375,0.001510356,0.001068857,0.001325172,0.08270187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000713814,"about_ca_system_score_gemma":0.0005492208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461511,"about_ca_topic_score_gemma":0.004070706,"domain_scores_codex":[0.999718,0.00001972052,0.000007791028,0.00007196344,0.000161736,0.00002082314],"domain_scores_gemma":[0.9999067,0.00001446424,0.000004516628,0.00002553544,0.00004073712,0.000008017714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004043271,0.00003599066,0.00008489657,0.0002312747,0.000007536249,0.00006987638,0.00008826717,0.004259687,0.005974909,0.0679829,0.2431098,0.6781145],"study_design_scores_gemma":[0.000002821429,0.0000192607,0.00021458,0.00005802924,0.000003731589,0.0001126778,0.0000211323,0.002679909,0.001762631,0.01020896,0.9849077,0.000008503735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0010432,0.003318796,0.07924586,0.0004620574,0.0009363004,0.0000493251,0.0003367446,0.001670948,0.9129367],"genre_scores_gemma":[0.007663677,0.001890825,0.01851149,0.0001886836,0.0001809232,0.00004795392,0.0005493209,0.0003875424,0.9705796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1585864,"threshold_uncertainty_score":0.5305245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006385549921181191,"score_gpt":0.1848246363475831,"score_spread":0.1784390864264019,"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."}}