{"id":"W1984638028","doi":"10.1145/1400181.1400200","title":"The many facets of natural computing","year":2008,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Science Foundation","keywords":"Natural computing; Natural (archaeology); Computer science; Natural science; Bridge (graph theory); Human–computer interaction; Artificial intelligence; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986413,0.0004171326,0.0006623025,0.001947394,0.003760912,0.007846321,0.000977369,0.001799083,0.006422115],"category_scores_gemma":[0.008265181,0.0003626535,0.0006081322,0.003027753,0.01934829,0.0148442,0.004064573,0.004743029,0.001098967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741759,"about_ca_system_score_gemma":0.001921689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002591536,"about_ca_topic_score_gemma":0.002762467,"domain_scores_codex":[0.9974182,0.00104947,0.00009873549,0.0003264328,0.0009162984,0.0001910007],"domain_scores_gemma":[0.9944517,0.003443514,0.0001750977,0.0009917617,0.0005215781,0.000416272],"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":[0.00001245382,0.000009278413,0.000350648,0.0001162686,0.0000103806,0.00006049593,0.0005422994,0.0005835037,0.0001862546,0.9728301,0.005612424,0.01968588],"study_design_scores_gemma":[0.000001888517,0.000003275048,0.0002116061,0.00005886073,0.000002431735,0.00006526594,0.0002902243,0.000831603,0.0000763374,0.9543897,0.04406078,0.000008026421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.02950204,0.09721778,0.2255933,0.133852,0.003565812,0.000135246,0.0005367511,0.0006092622,0.5089878],"genre_scores_gemma":[0.8057424,0.07597813,0.06613159,0.01228185,0.007365067,0.0003045726,0.0004008746,0.0002636948,0.03153188],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007846321,"threshold_uncertainty_score":0.02148408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992601041239598,"score_gpt":0.2933581590792394,"score_spread":0.2534321486668434,"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."}}