{"id":"W2610183708","doi":"10.7717/peerj.3812","title":"Ananke: temporal clustering reveals ecological dynamics of microbial communities","year":2017,"lang":"en","type":"article","venue":"PeerJ","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of Food and Agriculture; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; U.S. Department of Agriculture","keywords":"Cluster analysis; Biology; Data mining; Ecology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003357862,0.00009946624,0.0002336819,0.00001624383,0.000699863,0.00002178006,0.0009117658,0.0001328507,0.004977539],"category_scores_gemma":[0.00005955132,0.0000936348,0.00006228747,0.00002265782,0.0008772734,0.0001173912,0.001234296,0.0002553411,0.0001307184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000682102,"about_ca_system_score_gemma":0.000007289273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004052151,"about_ca_topic_score_gemma":0.06205373,"domain_scores_codex":[0.9992701,0.0001841287,0.0001884766,0.00009683132,0.00005103724,0.0002094511],"domain_scores_gemma":[0.9989988,0.000100903,0.0001874023,0.0006650427,0.000009601926,0.00003831543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000141061,0.0003951509,0.9041869,0.00004647918,0.0000396839,0.00001152366,0.001656607,0.0006740117,0.07166967,0.0008806383,0.01775204,0.002546226],"study_design_scores_gemma":[0.0003792689,0.0001937645,0.9901868,0.00001398949,0.00001341717,0.00001645625,0.0002877655,0.001562069,0.0004485779,0.002949225,0.003760638,0.0001880833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834915,0.00000465869,0.00006848359,0.0006433155,0.0001886834,0.00009496059,0.00003514605,0.00001721632,0.01545603],"genre_scores_gemma":[0.9979405,0.00001133385,0.00080234,0.0002131853,0.00002199179,0.000003364525,0.00006648659,0.000006379129,0.0009344538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08599983,"threshold_uncertainty_score":0.995932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729207932040416,"score_gpt":0.2669139645456798,"score_spread":0.2396218852252757,"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."}}