{"id":"W3129261065","doi":"10.2118/203861-ms","title":"P-PLE: Practical Product Line Qualification","year":2021,"lang":"en","type":"article","venue":"SPE Thermal Well Integrity and Design Symposium","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Computer science; Scope (computer science); Risk analysis (engineering); Product (mathematics); Confidentiality; New product development; Statement of work; Work (physics); Reliability engineering; Computer security; Engineering; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009760395,0.000150359,0.0001567112,0.00004408442,0.00009981389,0.0002680061,0.0002727078,0.0001017535,0.00006633581],"category_scores_gemma":[0.00037118,0.0001324069,0.00004060063,0.0002466423,0.00004304463,0.0007112778,0.0001475703,0.0005168531,0.00006818394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000249814,"about_ca_system_score_gemma":0.000155556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004238372,"about_ca_topic_score_gemma":0.000001933876,"domain_scores_codex":[0.9986423,0.0003152232,0.0002098509,0.0004240322,0.0001979344,0.0002107048],"domain_scores_gemma":[0.9985184,0.0006010483,0.00008480686,0.0005432939,0.0001577633,0.00009469461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002692298,0.001013412,0.0006981594,0.0002271679,0.0001581747,0.0004243169,0.002756624,0.001321848,0.4941621,0.4373843,0.02078938,0.04079527],"study_design_scores_gemma":[0.0004044598,0.0004431943,0.001158873,0.00008363638,0.00005540789,0.0007303259,0.00007589938,0.06847808,0.8103621,0.01288482,0.1045624,0.000760795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001602335,0.0004615292,0.9798374,0.0142863,0.0003074044,0.0001672629,0.000001467395,0.0004553089,0.002881024],"genre_scores_gemma":[0.3814371,0.0004846652,0.6161294,0.0006018387,0.0002833219,0.00002569595,0.000007011433,0.0000177643,0.001013177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4244995,"threshold_uncertainty_score":0.5399398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05845945970240725,"score_gpt":0.3131775904602026,"score_spread":0.2547181307577954,"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."}}