{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009594123,0.000134502,0.0002897792,0.00002457359,0.00003896834,0.00001086766,0.0001325913,0.00001684681,3.104069e-7],"category_scores_gemma":[0.0004511441,0.00009427707,0.00006551071,0.0001104895,0.00001338379,0.00009089754,0.00003491189,0.00007965285,0.000005301784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004148742,"about_ca_system_score_gemma":0.00003069347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.812617e-7,"about_ca_topic_score_gemma":8.482897e-8,"domain_scores_codex":[0.999294,0.00003521543,0.00026901,0.0001200431,0.0001308562,0.000150893],"domain_scores_gemma":[0.9988321,0.0005543737,0.00004706901,0.0002255832,0.0002898681,0.00005102608],"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":[0.00001147896,0.0000192365,1.930856e-7,0.002824642,0.000223699,3.942162e-7,0.0003357277,0.8687521,0.0001066716,0.002590946,0.09391838,0.03121654],"study_design_scores_gemma":[0.00009948097,0.00004959006,0.000004703611,0.00129154,0.000055495,0.000004831936,0.00001581894,0.9683888,0.0002591545,0.0002172253,0.02950135,0.0001120279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000260417,0.2034227,0.7948807,0.0004125076,0.0006990428,0.0004314208,0.000001078331,0.0001070357,0.00001947991],"genre_scores_gemma":[0.08668845,0.2088006,0.7026827,0.0004008219,0.0007369383,0.0004507693,0.000003510463,0.00009437326,0.0001418437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09963669,"threshold_uncertainty_score":0.3844507,"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."}}