{"id":"W2157051202","doi":"10.1016/j.mimet.2012.04.016","title":"A carbon free filter for collection of large volume samples of cellular biomass from oligotrophic waters","year":2012,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institute of Environmental Health Sciences; Fogarty International Center","keywords":"Biomass (ecology); Environmental chemistry; Volume (thermodynamics); Chemistry; Environmental science; Carbon fibers; Filter (signal processing); Ecology; Biology; Materials science; Thermodynamics","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":[0.001881575,0.0001290503,0.0005178057,0.00005817695,0.00007328681,0.000002372606,0.0004378445,0.0002684916,0.001279198],"category_scores_gemma":[0.0003836217,0.00008936449,0.0002378798,0.0001313205,0.0002919757,0.00006326016,0.0002626084,0.0002399217,0.000003300716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006239286,"about_ca_system_score_gemma":0.00001015929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002592034,"about_ca_topic_score_gemma":0.00002104625,"domain_scores_codex":[0.997646,0.001344924,0.0005633876,0.0001092272,0.00004554965,0.0002909631],"domain_scores_gemma":[0.9983572,0.000741909,0.0005721275,0.0002191641,0.00003948137,0.00007007769],"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":[0.0003075964,0.0002680831,0.02550872,0.00001239283,0.0000700674,4.304948e-7,0.0003053755,0.00001372847,0.9716498,0.00001317507,0.001599428,0.0002511734],"study_design_scores_gemma":[0.0009399582,0.001058283,0.09694247,0.00001892343,0.0001005867,0.00001990529,0.00007260935,0.00003415355,0.8831924,0.003976553,0.01349974,0.0001444027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979903,0.0002644264,0.01897826,0.0001112376,0.0004249029,0.0001348354,0.0001044268,0.000003946741,0.00007497566],"genre_scores_gemma":[0.8534296,0.00002969282,0.1463173,0.00008018236,0.00007451991,0.000002376988,0.00001905523,0.000006353524,0.00004084079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1273391,"threshold_uncertainty_score":0.9996338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011199188900683,"score_gpt":0.3086462922470728,"score_spread":0.268534300358066,"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."}}