{"id":"W2998547203","doi":"10.3390/w12010124","title":"Monitoring of Cyanobacteria in Water Using Spectrophotometry and First Derivative of Absorbance","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spectrophotometry; Absorbance; Cyanobacteria; Detection limit; Chemistry; Chromatography; Environmental chemistry; Bacteria; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001049768,0.00006565628,0.0001511554,0.00002792555,0.00001241318,0.000004960711,0.00006212905,0.00003244893,0.0005552752],"category_scores_gemma":[0.000001552424,0.00004067778,0.00001521651,0.00004566906,0.00003920049,0.000096022,0.00008637941,0.00003852178,0.00004441446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004441331,"about_ca_system_score_gemma":0.000001083522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005428583,"about_ca_topic_score_gemma":0.0000467742,"domain_scores_codex":[0.9994575,0.00001264797,0.0001782248,0.0001207731,0.00008702079,0.0001437686],"domain_scores_gemma":[0.9998145,0.00001104426,0.00003776998,0.0001160456,0.000003197482,0.0000174486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007179577,0.000007866588,0.5805883,0.00003003957,0.000002909726,7.564835e-7,0.0008729237,0.0002842253,0.4181831,0.000002622047,3.971448e-7,0.00001968814],"study_design_scores_gemma":[0.0001842282,0.00002920759,0.3071852,0.00006220843,0.000002465115,0.000002353524,0.00008176939,0.00170999,0.6904826,0.00008718899,0.0001014896,0.00007134458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992427,0.000009111995,0.00003113359,0.000008159014,0.00009571781,0.0001080794,0.000002400348,0.000002271503,0.0005004379],"genre_scores_gemma":[0.9991659,0.00000634567,0.0007200919,0.000002793522,0.00001038775,0.000001368738,0.000001115387,0.0000064559,0.00008553934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2734031,"threshold_uncertainty_score":0.6079874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006784299359563284,"score_gpt":0.2021803845293961,"score_spread":0.1953960851698328,"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."}}