{"id":"W3109346192","doi":"","title":"Information structures and processes to support data exchange between product development and resource planning systems","year":2010,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Resource (disambiguation); New product development; Resource planning; Product (mathematics); Knowledge management; Process management; Business; Environmental resource management; Environmental 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":[0.009772273,0.0008510111,0.0009165923,0.004737061,0.002086887,0.008950293,0.002404393,0.001712785,0.004907028],"category_scores_gemma":[0.02609007,0.001059267,0.001238528,0.004944616,0.001416264,0.007295043,0.003202313,0.002817089,0.002296997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002595392,"about_ca_system_score_gemma":0.007195583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227852,"about_ca_topic_score_gemma":0.009589926,"domain_scores_codex":[0.9957481,0.001064697,0.0007932184,0.0005380493,0.001511346,0.0003447268],"domain_scores_gemma":[0.9759714,0.009390708,0.001639717,0.009062986,0.003198968,0.0007360645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001095277,0.0007802868,0.01042734,0.0007115252,0.0002588239,0.0007061483,0.00262819,0.07973067,0.01942584,0.3628812,0.05246439,0.4688902],"study_design_scores_gemma":[0.0003936783,0.0003514963,0.004711872,0.000541478,0.0004431464,0.0004014436,0.0006440479,0.4722543,0.1171643,0.1577283,0.2451161,0.000249918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01679547,0.0002493394,0.9539951,0.001318083,0.0001879327,0.0007247146,0.002222329,0.01687851,0.007628521],"genre_scores_gemma":[0.2249651,0.0004381395,0.7574475,0.0005840291,0.0001685504,0.0008004821,0.008970979,0.001723295,0.004901967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01227852,"threshold_uncertainty_score":0.05168134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611173817312598,"score_gpt":0.2258057149998658,"score_spread":0.2096939768267398,"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."}}