{"id":"W2017138350","doi":"10.1080/10934520802293586","title":"Development of a fluorescence<i>in situ</i>hybridization protocol for the identification of micro-organisms associated with wastewater particles and flocs","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fluorescence; In situ; Fluorescence in situ hybridization; Particle (ecology); Microplastics; Chromatography; Wastewater; Chemistry; Biology; Materials science; Environmental chemistry; Environmental science; Biochemistry; Optics; Ecology; Environmental engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001639741,0.00005614594,0.0001384033,0.00003016716,0.0003495363,0.000004484836,0.0001340154,0.00002264045,0.00003689279],"category_scores_gemma":[0.00002656635,0.00003572919,0.00001110497,0.0001196613,0.0009242948,0.0001625065,0.000072057,0.00007196963,7.109064e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085137,"about_ca_system_score_gemma":0.0000886245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124564,"about_ca_topic_score_gemma":0.0001792381,"domain_scores_codex":[0.9990733,0.00005732229,0.0004526459,0.00009285101,0.0001742545,0.0001495894],"domain_scores_gemma":[0.9993377,0.00005374422,0.0004780127,0.00006958498,0.00001027996,0.00005067987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007299957,0.0001768654,0.04415492,0.00001495546,0.000004581786,3.731798e-7,0.003243229,0.00006519327,0.9509574,0.000004781976,0.00008526701,0.001219393],"study_design_scores_gemma":[0.0006317234,0.0003129949,0.7623512,0.00003899347,0.000004136273,0.0000195364,0.0004496194,0.00008377037,0.2355479,0.00003787487,0.0004767292,0.00004556927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957426,0.000009461811,0.00006576926,0.00025346,0.00001216507,0.003907782,0.000002363417,7.24574e-7,0.000005636465],"genre_scores_gemma":[0.9979054,0.00003195207,0.00165124,0.00007260318,0.000004648999,0.0003237651,9.885902e-7,0.000002527785,0.000006873017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7181962,"threshold_uncertainty_score":0.3405603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03555541458840385,"score_gpt":0.2835254838820378,"score_spread":0.2479700692936339,"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."}}