{"id":"W2442544602","doi":"10.21474/ijar01/495","title":"MODELING DATA-DRIVEN SYSTEMS: THE I4 REQUIREMENTS ENGINEERING METHODOLOGY (INCEPTION, INTERACTION, ISOLATION, AND INTEGRATION)","year":2016,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Isolation (microbiology); Data integration; Systems engineering; System integration; Computer science; Engineering management; Software engineering; Engineering; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01017873,0.001591961,0.0007418904,0.002768783,0.001004291,0.005459497,0.003437501,0.002076208,0.001897092],"category_scores_gemma":[0.01167975,0.001334154,0.002534805,0.002201164,0.003035429,0.006192855,0.003188193,0.003000384,0.001308919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647729,"about_ca_system_score_gemma":0.005087482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005477217,"about_ca_topic_score_gemma":0.003820057,"domain_scores_codex":[0.9899381,0.004823111,0.0009178824,0.0007630976,0.00312585,0.000431963],"domain_scores_gemma":[0.9921325,0.004480576,0.00073583,0.001065491,0.001379351,0.0002062361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007588642,0.0001856157,0.002373797,0.001116646,0.0001433323,0.0005517791,0.003078294,0.1258973,0.007739555,0.7360421,0.004295408,0.1185004],"study_design_scores_gemma":[0.00007708465,0.0002071414,0.0006322723,0.001019211,0.0001375591,0.0005832208,0.001273311,0.4473717,0.01186728,0.4464828,0.09021167,0.0001366987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002555836,0.000171009,0.9906071,0.0008104977,0.00001938618,0.0002249936,0.0001502994,0.0003002134,0.005160546],"genre_scores_gemma":[0.06924224,0.0004592474,0.9268436,0.0002809088,0.00004396018,0.0006538552,0.0004452826,0.0001664585,0.001864463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01017873,"threshold_uncertainty_score":0.05383092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3917851882636899,"score_gpt":0.4627011335769806,"score_spread":0.07091594531329065,"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."}}