{"id":"W1487035780","doi":"","title":"DESIGN & VALIDATION METHODOLOGY FROM A LIFE PREDICTION PERSPECTIVE FOR THE STRUCTURAL COMPONENTS OF A RECREATIONAL PRODUCT","year":2014,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Engineering design process; Perspective (graphical); Product design; Computer science; Systems engineering; New product development; Process (computing); Product (mathematics); Focus (optics); Recreation; Management science; Engineering; Risk analysis (engineering); Manufacturing engineering; Artificial intelligence; Mathematics; Mechanical engineering","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":[0.003672888,0.001011331,0.0004921737,0.001163205,0.000466141,0.001259689,0.001151293,0.0008981793,0.005154828],"category_scores_gemma":[0.003641109,0.00045316,0.00120125,0.0005376388,0.0007248993,0.0006644381,0.0008812383,0.001048102,0.0008996393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706259,"about_ca_system_score_gemma":0.00196326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184942,"about_ca_topic_score_gemma":0.001178095,"domain_scores_codex":[0.9982622,0.000718916,0.00009292605,0.0001551545,0.0006833812,0.0000873589],"domain_scores_gemma":[0.9983492,0.0007490874,0.0002452141,0.0001877714,0.0004341695,0.00003465126],"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":[0.00009165527,0.0001614456,0.002110427,0.001295571,0.000130622,0.0004025889,0.0005063342,0.6339037,0.04801091,0.06746009,0.001631069,0.2442955],"study_design_scores_gemma":[0.00004935486,0.000591904,0.001245639,0.0003491997,0.0001025104,0.0003151625,0.0002050155,0.8913435,0.03291938,0.02171751,0.05110526,0.00005565567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003195381,0.00007150581,0.9941006,0.00003717556,0.00001121282,0.000176281,0.00004294731,0.0001900908,0.00217481],"genre_scores_gemma":[0.1085587,0.0002593328,0.8876123,0.00006000657,0.00001243992,0.001143259,0.0002128077,0.0001170739,0.002024173],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005154828,"threshold_uncertainty_score":0.01942432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09219894287848399,"score_gpt":0.2739163967882735,"score_spread":0.1817174539097895,"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."}}