{"id":"W2156414674","doi":"10.1016/j.tree.2004.01.008","title":"Big questions, small worlds: microbial model systems in ecology","year":2004,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":461,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Ecology; Microbial ecology; Simplicity; Field (mathematics); Evolutionary ecology; Replication (statistics); Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003698215,0.0007617972,0.001793048,0.0009872378,0.001504661,0.004038551,0.001657032,0.002976021,0.00430364],"category_scores_gemma":[0.009868435,0.0005903465,0.0008260084,0.0008127844,0.006190017,0.009522436,0.002201535,0.004367764,0.0004198754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568174,"about_ca_system_score_gemma":0.0008779136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583739,"about_ca_topic_score_gemma":0.001747842,"domain_scores_codex":[0.9985906,0.001012956,0.00003213843,0.0001126493,0.0001867729,0.00006483244],"domain_scores_gemma":[0.9916836,0.006735519,0.0003207299,0.0004711671,0.0002129792,0.0005759763],"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":[0.00002205161,0.00002267908,0.0002760162,0.00007898259,0.00003018168,0.00003331085,0.0001838135,0.01495487,0.0001309192,0.9770897,0.002409357,0.004768098],"study_design_scores_gemma":[0.000008644291,0.000004063075,0.00003670498,0.000009794042,0.000004615858,0.000009942461,0.00003670554,0.02599105,0.00001646781,0.9723374,0.001540252,0.000004306003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1367678,0.0485569,0.6264187,0.109416,0.002486687,0.0001365668,0.0005737625,0.0006901393,0.0749535],"genre_scores_gemma":[0.9123041,0.01237999,0.06279736,0.002584082,0.001847037,0.000338709,0.0001845782,0.0001286989,0.007435481],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.00430364,"threshold_uncertainty_score":0.01955825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139105412214471,"score_gpt":0.2486624886296297,"score_spread":0.237271434507485,"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."}}