{"id":"W4230160128","doi":"10.32920/14641875","title":"Designing as Balance-Seeking Instead of Problem-Solving","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Harmony (color); Solver; Odds; Context (archaeology); Management science; Machine learning; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006507972,0.0004469182,0.001518114,0.0007928055,0.0002167578,0.001625208,0.002201228,0.0003877995,0.003001565],"category_scores_gemma":[0.0054135,0.0003353253,0.0006413871,0.00110819,0.00009064641,0.000326537,0.004526735,0.0007293993,0.0001899379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009366136,"about_ca_system_score_gemma":0.0007093671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007151706,"about_ca_topic_score_gemma":0.0001469932,"domain_scores_codex":[0.990809,0.0006238765,0.002838403,0.001577361,0.003667912,0.0004834114],"domain_scores_gemma":[0.9907974,0.003400116,0.001816499,0.002223518,0.001581068,0.0001814261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002810965,0.000846311,0.1396438,0.001643553,0.0009367678,0.001082682,0.03884643,0.1072904,0.1080121,0.09694349,0.07664114,0.4278322],"study_design_scores_gemma":[0.001898253,0.0002707267,0.0116721,0.01152491,0.0001374356,0.0003456703,0.0459002,0.1642653,0.01015883,0.7202071,0.03026259,0.003356932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1195492,0.003445678,0.6156093,0.0001250037,0.002303523,0.0007053225,0.000009509842,0.0001416608,0.2581108],"genre_scores_gemma":[0.8891809,0.00001327085,0.1043901,0.0001256825,0.0002023413,0.00002127792,0.000003463175,0.00003524731,0.006027767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7696317,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.179863834571747,"score_gpt":0.3999932322608238,"score_spread":0.2201293976890768,"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."}}