{"id":"W943026089","doi":"10.1371/journal.pone.0132907","title":"An Economic Framework of Microbial Trade","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Population; Ecology; Abundance (ecology); Economics; Biology; Group selection; Microbial population biology; Selection (genetic algorithm); Biochemical engineering; Natural resource economics; Computer science; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.000333819,0.0000296655,0.00007207342,0.00001682554,0.00007914009,0.00001216949,0.0001081807,0.0000587598,0.0002314886],"category_scores_gemma":[0.00006686877,0.00003289186,0.00001341571,0.00004164759,0.0001093407,0.0001823837,0.000005326044,0.00005019773,0.00007854361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005586657,"about_ca_system_score_gemma":0.00014857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001388792,"about_ca_topic_score_gemma":0.0002579661,"domain_scores_codex":[0.9995309,0.0001384814,0.00008369951,0.00007153331,0.00009341205,0.00008193622],"domain_scores_gemma":[0.999759,0.00003277367,0.00003070862,0.00008665059,0.00002094487,0.00006990524],"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":[0.00012369,0.00161143,0.005581831,0.0000117994,0.00006293871,7.291146e-7,0.03547927,0.0002098313,0.03672349,0.9186384,0.0007956637,0.0007609071],"study_design_scores_gemma":[0.002406186,0.002285855,0.01483108,0.000499658,0.0004056389,0.00000205022,0.03080173,0.002912731,0.1868578,0.7421753,0.0154146,0.00140741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988959,0.0000448708,0.0001082605,0.001007857,0.00006288134,0.00007566399,0.000006882131,0.00003011858,0.009704458],"genre_scores_gemma":[0.9973376,0.00001547151,0.001919786,0.00007911192,0.0003853609,0.000002865581,0.000004947595,0.000003304022,0.0002514904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1764632,"threshold_uncertainty_score":0.2534638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634693159876156,"score_gpt":0.2868498806091179,"score_spread":0.2233805646215023,"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."}}