{"id":"W4390117343","doi":"10.1109/models-c59198.2023.00061","title":"Towards Requirements Specification Collaboration Forum for Embedded Software Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Requirements elicitation; Requirements analysis; Computer science; Requirements management; Software requirements specification; Requirements engineering; Software engineering; System requirements; Systems Modeling Language; Stakeholder; Functional requirement; Requirement prioritization; Software requirements; System requirements specification; User requirements document; Systems engineering; Process (computing); Software; Unified Modeling Language; Software development; Software design; Engineering","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":[0.00071912,0.000111855,0.0001374928,0.0001412098,0.00009054159,0.0001638446,0.0004400552,0.00005709509,0.00000135878],"category_scores_gemma":[0.001374477,0.0001052884,0.00003449474,0.0008207465,0.00001179722,0.0007677505,0.0001232903,0.00004311967,0.00004430717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008752193,"about_ca_system_score_gemma":0.00006849771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002639212,"about_ca_topic_score_gemma":0.000001827008,"domain_scores_codex":[0.9989019,0.00006546299,0.0002261502,0.000321922,0.000221161,0.000263423],"domain_scores_gemma":[0.9987267,0.0004635998,0.0000794942,0.0004664917,0.0002217673,0.00004199296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001821524,0.00003231332,0.0001465872,0.0001710137,0.00004125024,0.000004522246,0.001314417,0.2718691,0.006339402,0.588758,0.03294978,0.09835539],"study_design_scores_gemma":[0.002222133,0.0006149604,0.00539632,0.0001889838,0.00002269526,0.00001334739,0.003831069,0.6028936,0.03970352,0.267175,0.07630391,0.001634415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002569722,0.00007029032,0.9935347,0.000994324,0.00160283,0.0005537877,0.000008826586,0.002820558,0.0001577057],"genre_scores_gemma":[0.01639015,0.00002874189,0.9817154,0.00009359209,0.00005682039,0.0003033758,0.0000369027,0.0000181279,0.001356891],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3310245,"threshold_uncertainty_score":0.4293535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09593984806272716,"score_gpt":0.3576413370243061,"score_spread":0.261701488961579,"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."}}