{"id":"W2147899248","doi":"10.1186/2042-5783-1-5","title":"The importance of metagenomic surveys to microbial ecology: or why Darwin would have been a metagenomic scientist","year":2011,"lang":"en","type":"article","venue":"Microbial Informatics and Experimentation","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Darwin (ADL); Metagenomics; Charles darwin; LEAPS; Scientific discovery; Philosophy of science; Data science; Epistemology; Ecology; Computer science; Biology; Darwinism; Philosophy; Psychology; Cognitive science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00103406,0.000182932,0.0002634995,0.00006340824,0.0005786264,0.0000478527,0.0004144684,0.0001487417,0.0031002],"category_scores_gemma":[0.00002531544,0.0001392488,0.00006185382,0.0001330027,0.0005372449,0.0002571865,0.000454133,0.000199943,0.0001588807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009302674,"about_ca_system_score_gemma":0.00002642968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007255979,"about_ca_topic_score_gemma":0.006714697,"domain_scores_codex":[0.9986136,0.0002183146,0.0006241074,0.0001585668,0.0000690188,0.000316369],"domain_scores_gemma":[0.9991739,0.00008653396,0.000313213,0.0003167507,0.00002230347,0.0000873223],"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":[0.0003670666,0.0001211882,0.005999049,0.00001867418,0.00009131485,0.000001626829,0.0225154,0.0001380962,0.9589505,0.0002185828,0.009938678,0.001639837],"study_design_scores_gemma":[0.003111153,0.001880798,0.1324317,0.00002699328,0.0001872819,0.00009089495,0.01054101,0.0005402617,0.8057249,0.0005795086,0.043724,0.001161486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960554,0.00003141476,0.000651621,0.00008440206,0.0002528674,0.0004971871,0.00004201297,0.00001333377,0.002371809],"genre_scores_gemma":[0.9912845,0.00004537117,0.006664387,0.00157094,0.00001650092,0.00002286642,0.00006987299,0.00001346174,0.0003120521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1532256,"threshold_uncertainty_score":0.9978111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405009292641974,"score_gpt":0.2713336620872665,"score_spread":0.2372835691608468,"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."}}