{"id":"W1987874421","doi":"10.1002/j.2334-5837.2005.tb00668.x","title":"2.2.2 A Meta‐process Producing a Deliverable‐centric Process","year":2005,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Deliverable; Process (computing); Iterative and incremental development; Computer science; Simple (philosophy); Software development process; Goal-Driven Software Development Process; Systems engineering; Software; Software engineering; Software development; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007767626,0.0006323927,0.000365798,0.00171927,0.0009394783,0.005230347,0.001324232,0.001489641,0.004682631],"category_scores_gemma":[0.008580308,0.0005239235,0.001371905,0.001270357,0.001347573,0.004009166,0.002661801,0.001832021,0.001380456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532787,"about_ca_system_score_gemma":0.004230529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736747,"about_ca_topic_score_gemma":0.001605951,"domain_scores_codex":[0.9951933,0.001738494,0.0002981327,0.0006236562,0.001846735,0.0002997423],"domain_scores_gemma":[0.9937205,0.002288145,0.0004783526,0.001871254,0.001347624,0.0002941038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001694002,0.0002538686,0.002633929,0.0004192426,0.00009797209,0.001024096,0.00540603,0.01854218,0.04563429,0.7719044,0.003265763,0.1506489],"study_design_scores_gemma":[0.000190703,0.0008096261,0.002546994,0.0006805909,0.0002570976,0.001827362,0.002064807,0.1796077,0.1486231,0.3213711,0.3418177,0.0002032196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0103904,0.000104788,0.9687264,0.0007639485,0.00005477632,0.000286578,0.0000856334,0.00084363,0.01874372],"genre_scores_gemma":[0.2450152,0.0002719259,0.7387637,0.0001962837,0.00006016872,0.0004591302,0.0002569451,0.0003856476,0.01459086],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007767626,"threshold_uncertainty_score":0.04107964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117864152299775,"score_gpt":0.2357150727201371,"score_spread":0.2239286574901596,"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."}}