{"id":"W2149155984","doi":"10.1111/j.1461-0248.2004.00689.x","title":"Resource competition and adaptive radiation in a microbial microcosm","year":2004,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microcosm; Biology; Competition (biology); Ecology; Adaptation (eye); Pseudomonas fluorescens; Sympatric speciation; Resource (disambiguation); Population; Experimental evolution; Selection (genetic algorithm); Adaptive radiation; Local adaptation; Habitat; Ecological selection; Intraspecific competition; Bacteria; Demography","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":[0.0004160373,0.0001731607,0.0002569837,0.0003397171,0.0003963893,0.0005930326,0.0003322002,0.0003541192,0.0004457492],"category_scores_gemma":[0.0009893365,0.0001343461,0.0001203881,0.0002055362,0.0005689274,0.0003913295,0.0007264381,0.0003385651,0.00007694303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005260163,"about_ca_system_score_gemma":0.0001622917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005224337,"about_ca_topic_score_gemma":0.0005805101,"domain_scores_codex":[0.9996779,0.0001160021,0.00001333932,0.00006890324,0.00007755958,0.00004630835],"domain_scores_gemma":[0.9993895,0.0002485088,0.0001458578,0.00004867171,0.00005882502,0.0001086516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004103907,0.0001988639,0.0415832,0.00005773151,0.00005628433,0.0002987263,0.0002143661,0.00209966,0.9430872,0.001463897,0.000124013,0.01040565],"study_design_scores_gemma":[0.0003608897,0.003601279,0.6296577,0.00004028686,0.0001684643,0.003018354,0.001231889,0.08418527,0.2626504,0.01193134,0.003009198,0.0001449761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992527,0.00004278017,0.0004633181,0.00003369617,0.000001413666,0.000003639201,0.000009969609,0.000008094104,0.0001842963],"genre_scores_gemma":[0.9993626,0.00002468475,0.0005096916,0.00002632752,0.000002440076,0.000005467994,0.00001494182,0.000001723065,0.00005204767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005930326,"threshold_uncertainty_score":0.003816485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002814003036725132,"score_gpt":0.1919676704402901,"score_spread":0.1891536674035649,"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."}}