{"id":"W2031849362","doi":"10.1002/ece3.508","title":"High‐Throughput Sequencing: A Roadmap Toward Community Ecology","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Toolbox; Ecology; Throughput; Data science; Computer science; Diversity (politics); Biology; Sociology","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":[0.02386697,0.001708238,0.002377591,0.003527816,0.001132833,0.006825982,0.003201715,0.004399891,0.008917467],"category_scores_gemma":[0.01799886,0.0009648358,0.001601044,0.003021176,0.002505591,0.01304523,0.004631549,0.00680475,0.003749234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258789,"about_ca_system_score_gemma":0.004306414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004236,"about_ca_topic_score_gemma":0.002332521,"domain_scores_codex":[0.9950135,0.002220808,0.0002759104,0.0006127245,0.001533064,0.0003439529],"domain_scores_gemma":[0.9723104,0.01668824,0.001118463,0.002128732,0.00453112,0.003223038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005647384,0.0003382056,0.008294739,0.006146631,0.0004832537,0.0003245829,0.0008107828,0.00600552,0.06328172,0.0810333,0.07011849,0.7625981],"study_design_scores_gemma":[0.0001116751,0.0005837352,0.01549199,0.002764836,0.0002443123,0.0009796313,0.001223164,0.02948175,0.01629801,0.3311987,0.6012101,0.0004120854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01903914,0.2371217,0.6330023,0.08755744,0.005295756,0.0005275956,0.004062519,0.003336969,0.01005658],"genre_scores_gemma":[0.05775175,0.2159169,0.7015487,0.01013489,0.003658086,0.0008499954,0.004646364,0.0005582434,0.004934938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02386697,"threshold_uncertainty_score":0.1262221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883584238949153,"score_gpt":0.2199512995199413,"score_spread":0.2011154571304498,"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."}}