{"id":"W4247422911","doi":"10.1016/b978-1-84569-145-5.50021-4","title":"Contributor contact details","year":2008,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Toronto","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006808593,0.0009732512,0.001247797,0.004588971,0.00173913,0.00442981,0.001295542,0.00146865,0.9135152],"category_scores_gemma":[0.00436769,0.0005509846,0.000510318,0.004848407,0.0003565644,0.003768039,0.002838733,0.001327422,0.8824895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008609081,"about_ca_system_score_gemma":0.001341662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051996,"about_ca_topic_score_gemma":0.007244171,"domain_scores_codex":[0.9994035,0.00005687123,0.00002538931,0.000119031,0.0003310669,0.00006421165],"domain_scores_gemma":[0.9982527,0.0002902573,0.00006058774,0.0002877234,0.0006758797,0.00043278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001089911,0.00001788225,0.00008022918,0.0001039442,0.000001055208,0.00003294034,0.00005966848,0.00002595849,0.000232518,0.002506756,0.9110991,0.085829],"study_design_scores_gemma":[0.000003003544,0.00000479813,0.0001320337,0.00005339382,0.000001725404,0.00004177824,0.00004839115,0.0000376784,0.00008347591,0.0006957524,0.9988951,0.000002892369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002808387,0.0006223979,0.001217687,0.001077344,0.001589242,0.00008848922,0.002616309,0.001860629,0.990647],"genre_scores_gemma":[0.0004177254,0.0003359574,0.0003130604,0.0001481418,0.0001111045,0.00002785284,0.0008039121,0.0004631306,0.9973793],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08648485,"threshold_uncertainty_score":0.1233602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433476687910536,"score_gpt":0.2196650415172132,"score_spread":0.2053302746381079,"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."}}