{"id":"W2067321549","doi":"10.1002/cplx.20199","title":"Why complex systems engineering needs biological development","year":2007,"lang":"en","type":"article","venue":"Complexity","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Complex system; Natural (archaeology); Biochemical engineering; Artificial intelligence; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009495654,0.0001800341,0.0002174637,0.0001657602,0.0002399711,0.0001465324,0.0007664929,0.00008304189,0.00002259464],"category_scores_gemma":[0.00004253582,0.0001603112,0.00004480901,0.0004542123,0.00004847111,0.0001296779,0.0002747392,0.0001944983,0.00007138494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008548758,"about_ca_system_score_gemma":0.00004195141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006344241,"about_ca_topic_score_gemma":0.000005934041,"domain_scores_codex":[0.9986126,0.00004410255,0.0003329352,0.000282311,0.000224768,0.000503275],"domain_scores_gemma":[0.9990957,0.000223009,0.00007743622,0.0003629904,0.00006528106,0.0001755658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006590768,0.0004140034,0.06258569,0.0003951604,0.0002187512,0.0003145199,0.01031885,0.01390522,0.01258423,0.7977484,0.05315993,0.04828935],"study_design_scores_gemma":[0.0004566746,0.0001187056,0.108085,0.0001293152,0.000003054716,0.000108035,0.0001272891,0.2522576,0.001197558,0.000908515,0.635812,0.0007961546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06312677,0.0002106131,0.9334612,0.0002418629,0.0004912429,0.0001240758,0.000001977019,0.0005481076,0.001794158],"genre_scores_gemma":[0.841624,8.505483e-7,0.1576976,0.0005031427,0.0001022515,0.000005351412,0.00001809399,0.000007496114,0.0000412249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7968399,"threshold_uncertainty_score":0.6537302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203564557325147,"score_gpt":0.2659856705950171,"score_spread":0.1456292148625024,"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."}}