{"id":"W4404691670","doi":"10.1021/acsestwater.4c00359","title":"Bioanalytical Monitoring of Laguna Lake (Philippines) to Assess Water Research Priorities Associated with Organic Chemical Pollution and Cyanobacterial Blooms","year":2024,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Government of Alberta; University of Calgary; University of Alberta","funders":"EduCanada; Natural Sciences and Engineering Research Council of Canada; University of the Philippines; Philippine Council for Health Research and Development; University of Alberta","keywords":"Environmental science; Pollution; Water pollution; Water resource management; Environmental protection; Environmental chemistry; Ecology; Biology; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001015937,0.0001671618,0.0002141383,0.00009919626,0.0001192346,0.0001734844,0.000180246,0.0001338736,0.001125099],"category_scores_gemma":[0.00003418454,0.00009716659,0.00003529124,0.0002374402,0.0003312187,0.0002699111,0.0003956035,0.0002462781,0.000277078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940428,"about_ca_system_score_gemma":0.00001944437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115701,"about_ca_topic_score_gemma":0.00010499,"domain_scores_codex":[0.9979733,0.0001814522,0.000287132,0.00039575,0.0006207331,0.0005416674],"domain_scores_gemma":[0.9995443,0.00004938661,0.00001574138,0.0002054048,0.00003332709,0.0001518584],"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":[0.00006154635,0.00007108425,0.0119368,0.0000392182,0.00006076867,0.0000165739,0.002228031,0.00001552906,0.9850918,0.000130578,0.0001030619,0.0002449758],"study_design_scores_gemma":[0.0003148251,0.000151871,0.02775473,0.0001106446,0.00004036669,0.00001078225,0.0001172549,0.00004898394,0.9660171,0.0002915841,0.0049384,0.0002034836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966943,0.000008141478,0.00003927048,0.002539839,0.0002063577,0.0002004494,0.00003237472,0.00006238923,0.0002169186],"genre_scores_gemma":[0.9984601,0.000008311508,0.0001207826,0.00005096431,0.0001806601,0.00001695056,0.00003428429,0.00002277822,0.001105142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01907475,"threshold_uncertainty_score":0.999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090302802859732,"score_gpt":0.3222659151213559,"score_spread":0.2613628870927586,"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."}}