{"id":"W4394895946","doi":"10.5376/ija.2024.14.0004","title":"Application of Algae Biomarkers in Water Quality Monitoring","year":2024,"lang":"en","type":"article","venue":"International Journal of Aquaculture","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algae; Water quality; Environmental science; Biology; Computational biology; Chemistry; Environmental chemistry; Business; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009943353,0.0006109579,0.0006538037,0.001651744,0.0004026101,0.001097189,0.0003674944,0.001049282,0.0007598787],"category_scores_gemma":[0.0008488937,0.0002776352,0.0007022966,0.00126796,0.0004567287,0.0008590987,0.0009215021,0.0008726249,0.0003195279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006334577,"about_ca_system_score_gemma":0.000874489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666225,"about_ca_topic_score_gemma":0.00267478,"domain_scores_codex":[0.9990929,0.0002346251,0.00006306285,0.0002076379,0.0003392077,0.00006257525],"domain_scores_gemma":[0.9995329,0.000112127,0.000112916,0.00002517878,0.0001849518,0.00003186215],"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":[0.0002182537,0.0001424202,0.02726272,0.008493178,0.0004286079,0.000860774,0.0004235801,0.003805977,0.5474046,0.006841193,0.005432679,0.398686],"study_design_scores_gemma":[0.00003076539,0.0008129161,0.04197557,0.001561176,0.0008980305,0.002049868,0.0008193326,0.00952391,0.6310988,0.01039452,0.3006603,0.0001747812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1973041,0.6325999,0.1287601,0.005393084,0.001595336,0.0003126206,0.001936229,0.0006657717,0.03143276],"genre_scores_gemma":[0.6483424,0.2680062,0.07285457,0.001892997,0.0004487389,0.0002053879,0.0007044609,0.00005012242,0.00749509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001666225,"threshold_uncertainty_score":0.00525862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594483521218108,"score_gpt":0.3195120416047008,"score_spread":0.3035672063925197,"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."}}