{"id":"W2982452202","doi":"10.1021/acs.analchem.9b03923","title":"Monitoring Microalgal Biofilm Growth and Phenol Degradation with Fiber-Optic Sensors","year":2019,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Biofilm; Phenol; Chemistry; Degradation (telecommunications); Chemical engineering; Chlorella vulgaris; Organic chemistry; Algae","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008158533,0.0001334728,0.0001495601,0.00001138816,0.00005925362,0.0000525826,0.0001003551,0.00006603414,0.0005335222],"category_scores_gemma":[0.00001961432,0.0001075399,0.00004163529,0.0001673073,0.0001086593,0.0001022415,0.00007064995,0.0001318486,0.0002852186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005512055,"about_ca_system_score_gemma":0.000004822971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002207187,"about_ca_topic_score_gemma":1.736579e-7,"domain_scores_codex":[0.9990425,0.0000139604,0.000138497,0.000333406,0.0002455917,0.0002260657],"domain_scores_gemma":[0.999589,0.00004104849,0.00003949407,0.0001922947,0.00000784333,0.0001303643],"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":[0.0000297594,0.00007595192,0.4915521,0.000110744,0.00009642543,0.00002173184,0.0001244839,0.0002264511,0.5066943,0.00001482083,0.00009194399,0.0009612823],"study_design_scores_gemma":[0.0003753012,0.00003815153,0.03008111,0.0000593115,0.0001384284,0.00003052627,0.000242993,0.001537066,0.966912,0.00004583726,0.0001768504,0.0003623668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934815,0.00001439448,0.000009386816,0.0001532155,0.00001346914,0.00003331219,0.00000173249,0.00003280507,0.006260184],"genre_scores_gemma":[0.9901817,0.000005600154,0.0008759105,0.000005846484,0.00007789551,0.000002033432,0.000005431336,0.00001098477,0.008834557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.461471,"threshold_uncertainty_score":0.5841693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009072642300948544,"score_gpt":0.2153484934379697,"score_spread":0.2062758511370211,"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."}}