{"id":"W2967486788","doi":"10.20368/1971-8829/1399","title":"A Gentle Introduction to Computational Complexity Through an Examination of Noodle Making","year":2019,"lang":"en","type":"article","venue":"Institutional Research Information System (Università degli Studi di Trento)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computational resource; Computational complexity theory; Computer science; Computational problem; CITES; Complexity science; Worst-case complexity; Asymptotic computational complexity; Algorithmic complexity; Computational model; Computational thinking; Algorithm; Theoretical computer science; Artificial intelligence; Management science; Engineering","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":[0.002092543,0.0001944017,0.0003071213,0.0009978833,0.000691747,0.0002441193,0.001076716,0.00009206638,0.00006782301],"category_scores_gemma":[0.0001479433,0.0002088119,0.00009460621,0.002236994,0.0002400569,0.007704031,0.0008656988,0.0002578855,0.0005385881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486041,"about_ca_system_score_gemma":0.0004368429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001359027,"about_ca_topic_score_gemma":0.00002799758,"domain_scores_codex":[0.9957122,0.0004634245,0.0005860897,0.0004817921,0.002322029,0.0004344719],"domain_scores_gemma":[0.9964033,0.0001937077,0.0002617486,0.0006295802,0.002356635,0.0001549665],"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":[0.00005583111,0.0001957575,0.001327624,0.0002394277,0.00005736738,0.000003986404,0.008361028,0.09425261,0.00005130806,0.8779019,0.000363295,0.01718993],"study_design_scores_gemma":[0.002045218,0.000777723,0.2681873,0.0001741303,0.00001487777,0.00008654869,0.01051449,0.7001256,0.0001371895,0.002320242,0.01512261,0.0004940693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2645015,0.00001472773,0.7161068,0.0007760969,0.0007429392,0.001025719,0.00005486873,0.0001758473,0.01660145],"genre_scores_gemma":[0.9663564,0.000001271486,0.0332245,0.0000375597,0.0001585168,0.00002190727,0.0001373968,0.000005033676,0.00005742397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8755816,"threshold_uncertainty_score":0.8515102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202651698161973,"score_gpt":0.3463692520809213,"score_spread":0.226104082264724,"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."}}