{"id":"W1540689313","doi":"10.4018/978-1-59904-843-7.ch069","title":"A Method for Systematic Artifact Selection Decision Making","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Decision field theory; Computer science; Decision analysis; Intuition; Selection (genetic algorithm); Artificial intelligence; Management science; Operations research; Decision engineering; Decision support system; Business decision mapping; Engineering; Psychology; Mathematics; Cognitive 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00395428,0.0008159887,0.00229612,0.0006569316,0.0006436102,0.0009066213,0.001378987,0.0007222254,0.0002022563],"category_scores_gemma":[0.00284639,0.0006057548,0.001371639,0.0001820754,0.00006840378,0.0001533342,0.0003930494,0.0003531234,0.001176767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005947785,"about_ca_system_score_gemma":0.0003527501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002635433,"about_ca_topic_score_gemma":0.0002398035,"domain_scores_codex":[0.990485,0.0002443174,0.003231475,0.001687272,0.003721618,0.0006302982],"domain_scores_gemma":[0.988028,0.00665694,0.002192679,0.001498584,0.001369298,0.0002544821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000195569,0.00001018303,0.00001023329,0.0005112726,0.0001078142,0.00004698867,0.0001074914,0.0001957762,0.0000119825,0.9089829,0.04897016,0.04084968],"study_design_scores_gemma":[0.000436052,0.0001567596,0.00002392934,0.008580266,0.0001089829,0.0009022185,0.00004594767,0.0105842,0.000005324067,0.9310907,0.0474004,0.0006652741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000256355,0.0006917986,0.4910108,0.000009121515,0.000866812,0.0018828,0.00008712737,0.0001370642,0.5052888],"genre_scores_gemma":[0.3426467,0.000003025771,0.302614,0.0009207443,0.001903924,0.00042738,0.000002544908,0.0002974688,0.3511841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3426211,"threshold_uncertainty_score":0.9996394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338756688674846,"score_gpt":0.4146037137493835,"score_spread":0.2807280448818988,"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."}}