{"id":"W2148316074","doi":"10.1002/spip.164","title":"IMMoS: a methodology for integrated measurement, modelling and simulation","year":2002,"lang":"en","type":"article","venue":"Software Process Improvement and Practice","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Novelty; Process (computing); Component (thermodynamics); Systems engineering; Software; Industrial engineering; System dynamics; Empirical research; Software engineering; Engineering; Artificial intelligence","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":[0.01510259,0.001621545,0.001226106,0.003583802,0.000708628,0.004773741,0.003270313,0.001433654,0.005416923],"category_scores_gemma":[0.0203304,0.001495755,0.00268089,0.002131989,0.002962722,0.004469067,0.0066146,0.003041089,0.001378053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146456,"about_ca_system_score_gemma":0.00329924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102645,"about_ca_topic_score_gemma":0.0008533534,"domain_scores_codex":[0.987664,0.00676573,0.001382446,0.0009560591,0.002970443,0.0002612016],"domain_scores_gemma":[0.9890162,0.006573049,0.0008547739,0.002034812,0.001194789,0.0003263658],"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":[0.0001173744,0.0001505641,0.001520843,0.00079353,0.0002827128,0.0002507321,0.001269597,0.1793959,0.004079761,0.6421195,0.003759472,0.16626],"study_design_scores_gemma":[0.0001081448,0.0001504891,0.0003359524,0.0003954971,0.0001131065,0.0002126677,0.0002603813,0.654553,0.006709055,0.2603658,0.0767247,0.00007112426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005647751,0.00004549349,0.9973806,0.00004964563,0.00001684823,0.0001109875,0.00005650149,0.0009029643,0.000872238],"genre_scores_gemma":[0.02282282,0.0001064704,0.9751664,0.0000332547,0.00001795131,0.0007249626,0.0003338131,0.0002237751,0.0005705034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01510259,"threshold_uncertainty_score":0.07987112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1605950262362506,"score_gpt":0.3499547941458936,"score_spread":0.189359767909643,"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."}}