{"id":"W4282043286","doi":"10.3390/computers11060089","title":"Release Planning Patterns for the Automotive Domain","year":2022,"lang":"en","type":"article","venue":"Computers","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Original equipment manufacturer; Automotive industry; Context (archaeology); Software; Domain (mathematical analysis); Scope (computer science); Software engineering; Software release life cycle; Computer science; Process (computing); Plan (archaeology); Process management; Systems engineering; Engineering; Identification (biology); Software development; Manufacturing engineering; Software quality; Operating system","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":[0.0003198117,0.0001219377,0.0001100642,0.00006177002,0.0003761366,0.00008379814,0.001492838,0.00001894156,0.000004018046],"category_scores_gemma":[0.000004559418,0.0001055477,0.00008701076,0.0001859126,0.0000186516,0.0001187301,0.0008679458,0.0001947281,0.000001770555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077521,"about_ca_system_score_gemma":0.00003235751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009134554,"about_ca_topic_score_gemma":1.99725e-7,"domain_scores_codex":[0.9990236,0.00005914706,0.0001386409,0.0003094007,0.0002186675,0.0002505008],"domain_scores_gemma":[0.998982,0.0002914857,0.0000607878,0.0005767747,0.00003662496,0.00005233397],"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":[0.00001636145,0.0000813955,0.0008643491,0.00002919288,0.00009145843,0.00009352569,0.007495031,0.5306088,0.00005975701,0.220749,0.08290593,0.1570051],"study_design_scores_gemma":[0.0002047377,0.0001173846,0.001018522,0.00001292881,0.000003916144,0.00002699599,0.00001929545,0.8136377,0.00009922355,0.002135284,0.1825542,0.0001699023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003266543,0.0001137205,0.9930601,0.001355798,0.0008452842,0.0003551423,0.00001372134,0.0009745686,0.00001509336],"genre_scores_gemma":[0.2709598,0.000002134963,0.7274037,0.001147134,0.00009078402,0.0003244842,0.000006934958,0.00002009069,0.00004496807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2830288,"threshold_uncertainty_score":0.430411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862163604498029,"score_gpt":0.2471170256524524,"score_spread":0.2284953896074721,"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."}}