{"id":"W1507539466","doi":"10.1007/978-0-387-35637-2_7","title":"Product Model Based Multiple Viewpoint Information Sharing Using Features Technology","year":2003,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Groupe de recherche interuniversitaire en limnologie; Pontificia Universidade Católica do Paraná; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Loughborough University","keywords":"Viewpoints; Concurrent engineering; Product engineering; Product design; New product development; Product (mathematics); Systems engineering; Manufacturing engineering; Computer science; Design technology; Process (computing); Engineering; Process management; Software engineering; Operations management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001752609,0.0003232932,0.0003319493,0.001814691,0.0001555275,0.00008230431,0.0004790377,0.0006086641,0.00001816217],"category_scores_gemma":[0.0000865289,0.0003563948,0.00003421925,0.0002468663,0.0001601519,0.002319689,0.0001517141,0.0007770559,0.00001281751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001873531,"about_ca_system_score_gemma":0.000035925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002905703,"about_ca_topic_score_gemma":0.00002397756,"domain_scores_codex":[0.9986888,0.000006601435,0.0007834392,0.0001537053,0.0001481294,0.0002193643],"domain_scores_gemma":[0.9986005,0.00002309365,0.0003785471,0.0007888901,0.0001781375,0.00003085448],"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":[0.000009365413,0.000005543433,0.0000468724,0.0004154364,0.00001080934,1.325182e-7,0.0001608355,0.7218122,0.000004437527,0.1172501,0.00005648026,0.1602278],"study_design_scores_gemma":[0.000504302,0.00001615392,0.000004924176,0.0003783508,0.00001543662,0.00001560025,0.0001032064,0.7039445,0.001064115,0.06099882,0.2325038,0.0004507615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008929003,0.05464807,0.6539619,0.003012615,0.0005501868,0.002861524,0.0001031564,0.003744967,0.2802247],"genre_scores_gemma":[0.4893531,0.1472828,0.3538598,0.002556541,0.00004424645,0.000961778,0.002308586,0.0002641346,0.003369005],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4884602,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008888044984438402,"score_gpt":0.2222608246854845,"score_spread":0.2133727797010461,"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."}}