{"id":"W1992808361","doi":"10.1109/cogsima.2012.6188408","title":"Training systems thinking and adaptability for complex decision making in defence and security","year":2012,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Royal Military College of Canada; Thales (Canada); Defence Research and Development Canada","funders":"Mutuelle Générale de l'Education Nationale","keywords":"Adaptability; Heuristics; Computer science; TUTOR; Human–computer interaction; Knowledge management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004092,0.0001201465,0.0002100256,0.00008005037,0.0002025837,0.0002329835,0.0002041187,0.00005465846,0.000001973955],"category_scores_gemma":[0.0001558401,0.0001029692,0.00002573082,0.0001162725,0.00002713276,0.0006233269,0.0001901582,0.0001213459,0.000001119176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004628818,"about_ca_system_score_gemma":0.00001506986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122415,"about_ca_topic_score_gemma":0.00002952048,"domain_scores_codex":[0.9987804,0.00008785664,0.000277754,0.0003114866,0.0001787785,0.0003637762],"domain_scores_gemma":[0.9989473,0.0006706082,0.00008296993,0.0001791424,0.00004740012,0.00007260952],"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":[0.00001013346,0.00002278574,0.07472041,0.0001098465,0.000006303615,0.000001442171,0.02075,0.0002578232,0.0001895903,0.8603207,0.00001073157,0.04360016],"study_design_scores_gemma":[0.0005976807,0.0001370035,0.175038,0.001057177,0.000007721595,0.0001309458,0.007785387,0.77588,0.00007007996,0.02006157,0.01860075,0.0006336856],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2799371,0.0005764271,0.7182438,0.00002264076,0.000292185,0.0002445037,5.903601e-7,0.00005689236,0.000625833],"genre_scores_gemma":[0.9302956,0.000004243046,0.06952111,0.00003261068,0.00008764671,0.00001608312,2.256763e-7,0.000005902594,0.00003653969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8402592,"threshold_uncertainty_score":0.4198961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09445590831591362,"score_gpt":0.3178466895055013,"score_spread":0.2233907811895877,"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."}}