{"id":"W1647833164","doi":"","title":"GENERIC PRODUCT DESIGN & VALIDATION METHODOLOGIES AT THE DETAILED DESIGN STAGE","year":2013,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Context (archaeology); Computer science; Process (computing); Product design; Engineering design process; Product (mathematics); New product development; Scope (computer science); Design review (U.S. government); Probabilistic design; Product engineering; Quality (philosophy); Systems engineering; Management science; Industrial engineering; Engineering; Product testing; Mechanical engineering; Operations management","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":[0.01993491,0.002749186,0.001223537,0.002826621,0.001030926,0.006528589,0.003934841,0.002503746,0.01116233],"category_scores_gemma":[0.0195036,0.001582302,0.002492577,0.001964424,0.002666748,0.003657479,0.003488024,0.003105877,0.005446673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002540043,"about_ca_system_score_gemma":0.004994269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738847,"about_ca_topic_score_gemma":0.001461212,"domain_scores_codex":[0.9857598,0.00515587,0.001244985,0.001486849,0.005878167,0.0004742886],"domain_scores_gemma":[0.983716,0.00548311,0.001387258,0.005075605,0.004113966,0.0002239724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000104529,0.0001945705,0.001252147,0.003048388,0.0001634261,0.0003015482,0.001217804,0.08169071,0.01457607,0.410663,0.01236695,0.4744208],"study_design_scores_gemma":[0.0001344412,0.0007630098,0.001537156,0.001885327,0.000182498,0.001083815,0.0006613426,0.1616809,0.03147947,0.2379076,0.5625001,0.0001841851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001044688,0.0004977803,0.9886841,0.0002290258,0.00004971533,0.0007138586,0.0001938809,0.0007388715,0.007848054],"genre_scores_gemma":[0.01456393,0.0008306631,0.9780318,0.0001432999,0.00003928999,0.001070487,0.0004330048,0.0003536797,0.004533775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01993491,"threshold_uncertainty_score":0.1054271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118952388263774,"score_gpt":0.2605986839342973,"score_spread":0.1487034451079199,"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."}}