{"id":"W7042098641","doi":"","title":"Objective-based codes : the Canadian approach and the use of the it tools in the process","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Key (lock); Field (mathematics); Code (set theory); Confidentiality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233406,0.00009057493,0.0001139416,0.00003562737,0.0002137481,0.0001360591,0.001215771,0.00003574281,0.000001432646],"category_scores_gemma":[0.001829307,0.00003469321,0.00003195189,0.0005170482,0.0003283617,0.0001831207,0.00007947549,0.0002367237,3.059934e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003749132,"about_ca_system_score_gemma":0.0001715836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002470957,"about_ca_topic_score_gemma":0.01239201,"domain_scores_codex":[0.9988359,0.0004785637,0.0001155209,0.0001620901,0.0002028065,0.0002051559],"domain_scores_gemma":[0.996192,0.003079133,0.00005101946,0.00060565,0.00004996335,0.00002219652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008802022,0.00008498284,0.0122392,0.00008366942,0.00005059546,0.00001623128,0.04758468,0.691248,0.0002794148,0.149324,0.001030741,0.09797043],"study_design_scores_gemma":[0.002612951,0.0001215493,0.213334,0.0001615667,0.00004802891,0.0001457886,0.003770454,0.5244806,0.002836117,0.2344855,0.01725061,0.0007528759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04698657,0.00007401537,0.9401827,0.01053912,0.00009425334,0.0006217535,0.000004210002,0.00004451363,0.001452805],"genre_scores_gemma":[0.9271842,0.00000795526,0.07157981,0.001099101,0.0000144201,0.00007562496,2.548651e-7,0.000004937066,0.00003367465],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8801976,"threshold_uncertainty_score":0.6915031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148016475966038,"score_gpt":0.2960826280074438,"score_spread":0.18128098041084,"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."}}