{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00327975,0.001817069,0.001543545,0.004708953,0.001632773,0.003101294,0.002695739,0.001458636,0.008853705],"category_scores_gemma":[0.01304865,0.001295086,0.002358329,0.002424921,0.0008117835,0.003794377,0.003477198,0.001709195,0.005145376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007611035,"about_ca_system_score_gemma":0.001725007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003224194,"about_ca_topic_score_gemma":0.006389056,"domain_scores_codex":[0.9985545,0.0002476693,0.0001364464,0.0005521573,0.0004024736,0.0001067376],"domain_scores_gemma":[0.9970975,0.0013303,0.0003654413,0.0004451791,0.0005920268,0.0001696417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002229905,0.000653033,0.04775638,0.00561331,0.003160353,0.001161042,0.005555378,0.06704183,0.1115487,0.03042714,0.1596802,0.5651728],"study_design_scores_gemma":[0.0003557571,0.0002230302,0.02250106,0.0003489454,0.0004129772,0.0009651478,0.0009665935,0.7604226,0.03960686,0.04519744,0.1285731,0.0004264845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05529962,0.0009219257,0.798759,0.0003702092,0.0006112335,0.0005128265,0.01381108,0.1261349,0.003579159],"genre_scores_gemma":[0.08938248,0.0004125484,0.8769653,0.0001183993,0.00008007851,0.001035557,0.01528042,0.01400515,0.00272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008853705,"threshold_uncertainty_score":0.02961856,"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."}}