{"id":"W4238953227","doi":"10.18280/rces.020402","title":"THE EXTENSION ADAPTIVE DESIGN MODEL FOR MECHANICAL PRODUCT LIFECYCLE","year":2015,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Extension (predicate logic); Product lifecycle; Computer science; Product (mathematics); System lifecycle; New product development; Mathematics; Business; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007108987,0.000559433,0.0005333048,0.0006041958,0.0002939412,0.0009454637,0.001115834,0.001039746,0.004478161],"category_scores_gemma":[0.001811715,0.0003464816,0.0007133085,0.0006338554,0.000671763,0.001483331,0.0007383582,0.001040226,0.0007884951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005866566,"about_ca_system_score_gemma":0.0007933223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294503,"about_ca_topic_score_gemma":0.002299872,"domain_scores_codex":[0.9996181,0.0001324348,0.00002271685,0.00006568758,0.0001393406,0.00002170783],"domain_scores_gemma":[0.9995162,0.0002651609,0.00005063137,0.00006849248,0.00008381357,0.00001573392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006863222,0.00006421064,0.0008142249,0.0001742805,0.00002965031,0.00008827254,0.0001529638,0.7885176,0.001822432,0.1037775,0.001254475,0.1032357],"study_design_scores_gemma":[0.00001570625,0.00004680352,0.0002894876,0.000033501,0.00001732099,0.00005741634,0.00001913355,0.9356346,0.0003761344,0.0538852,0.009611555,0.0000130705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01050445,0.000869447,0.9778078,0.0002536472,0.00004674066,0.0000469308,0.00007188164,0.0002197261,0.01017932],"genre_scores_gemma":[0.6151097,0.002501301,0.3601747,0.0002042722,0.0000852345,0.0004166132,0.0003365722,0.0001982837,0.02097321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004478161,"threshold_uncertainty_score":0.01498091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1515886507312182,"score_gpt":0.3368917310652546,"score_spread":0.1853030803340363,"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."}}