{"id":"W2887546668","doi":"","title":"Feature-Based Reasoning for Machining Process Sequencing in Distributed Process Planning","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Feature (linguistics); Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002272594,0.0004777878,0.0008953618,0.0009803259,0.0009875383,0.001674203,0.002288144,0.001129961,0.006757373],"category_scores_gemma":[0.009514592,0.0006133768,0.001668148,0.0008594127,0.0009708845,0.003160629,0.001233344,0.00120291,0.0006153273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221102,"about_ca_system_score_gemma":0.001372662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006096525,"about_ca_topic_score_gemma":0.01113088,"domain_scores_codex":[0.9984,0.0003951656,0.0001374702,0.0002838188,0.0006461914,0.000137357],"domain_scores_gemma":[0.9965999,0.002169033,0.0002151272,0.0005154269,0.000409707,0.00009074679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008103578,0.0002988502,0.005263224,0.0004527442,0.0002001431,0.0008630929,0.0004858645,0.6466195,0.009880387,0.04098698,0.005057619,0.2890812],"study_design_scores_gemma":[0.00005282498,0.0000507248,0.0005243772,0.00001939203,0.00004418958,0.00007970062,0.00004248912,0.9587244,0.004229291,0.0343968,0.001819603,0.00001628954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03479898,0.00009053793,0.9593908,0.0002074579,0.00004415965,0.0001453547,0.0002667631,0.001470972,0.003585097],"genre_scores_gemma":[0.5213628,0.00007213321,0.4758392,0.00006302512,0.00002357571,0.0001157155,0.0005966866,0.0001633881,0.001763469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006757373,"threshold_uncertainty_score":0.02260566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327909928627391,"score_gpt":0.2496345915413262,"score_spread":0.2363554922550523,"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."}}