{"id":"W191376854","doi":"10.1007/978-1-84996-341-1_7","title":"Generic Product Modelling Framework","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Product (mathematics); Data exchange; Computer science; Information exchange; Product data management; New product development; Systems engineering; Information sharing; Manufacturing engineering; Product lifecycle; Process management; Engineering; Database; Business; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002756567,0.0002408124,0.0001838315,0.00007908964,0.00002802473,0.00002478334,0.000119044,0.0002348582,0.002271484],"category_scores_gemma":[0.000001474856,0.0002258311,0.00005385877,0.00001153927,0.00001060102,0.00005114379,0.00002057448,0.0002832753,0.0002034004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002358052,"about_ca_system_score_gemma":0.000008361765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003999948,"about_ca_topic_score_gemma":7.713342e-7,"domain_scores_codex":[0.9993762,8.240572e-7,0.0001683252,0.0002134704,0.00009961943,0.0001415561],"domain_scores_gemma":[0.9996149,0.000006311753,0.00003116721,0.0002733299,0.00002953658,0.00004475084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001088764,0.000001389411,1.91085e-7,0.0001709174,0.0000330742,0.000001644957,0.00005817241,0.9234261,3.914824e-7,0.06792763,0.0008139134,0.007565511],"study_design_scores_gemma":[0.0000553026,0.00001495868,7.979571e-7,0.0002846523,0.00007488014,0.000004626574,9.66189e-7,0.4035259,0.001236681,0.158488,0.4353249,0.0009883202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001955591,0.0009951689,0.4758489,0.000003224948,0.0002398423,0.00006603578,0.000001568519,0.0003235639,0.5225197],"genre_scores_gemma":[0.008670619,0.004020777,0.1006609,0.00005010678,0.0006876715,0.00001319199,0.00004108515,0.0002422554,0.8856134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5199002,"threshold_uncertainty_score":0.9986406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144603283451598,"score_gpt":0.186975792396286,"score_spread":0.15552975956177,"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."}}