{"id":"W4392840650","doi":"10.2139/ssrn.4737188","title":"Examining Effects of Sample Concentration on Estimates of Phytoplankton (Live Cell) Abundance","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Fisheries and Oceans Canada","funders":"","keywords":"Abundance (ecology); Phytoplankton; Sample (material); Environmental science; Oceanography; Ecology; Biology; Chemistry; Geology; Nutrient; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01419607,0.0009696753,0.0006731277,0.0006200795,0.0006924434,0.0015263,0.001061695,0.002346046,0.001762328],"category_scores_gemma":[0.1087602,0.001078448,0.001542807,0.0009821941,0.001316836,0.001113791,0.001136944,0.001216203,0.0003525162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008447478,"about_ca_system_score_gemma":0.000546929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007704362,"about_ca_topic_score_gemma":0.006440634,"domain_scores_codex":[0.9834068,0.01025525,0.0009332456,0.003309522,0.001706996,0.0003880915],"domain_scores_gemma":[0.6396562,0.3424979,0.005250895,0.007662705,0.004389309,0.000542974],"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":[0.03883149,0.002806917,0.3169374,0.001426431,0.004850082,0.001020318,0.002190813,0.04386841,0.4944379,0.0008472906,0.001206005,0.09157702],"study_design_scores_gemma":[0.0003401922,0.01329681,0.4893431,0.00007659998,0.003518579,0.0009099141,0.0004431781,0.06459332,0.4239138,0.001302746,0.002032402,0.000229344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957782,0.0009264262,0.03769441,0.0003465514,0.0001343382,0.0002029439,0.0009259382,0.0002374895,0.001749899],"genre_scores_gemma":[0.9757077,0.0002367902,0.0210078,0.0002837436,0.00004613414,0.0001489812,0.0008344499,0.0002749346,0.001459424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419607,"threshold_uncertainty_score":0.07507688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447929773160294,"score_gpt":0.2615459721663785,"score_spread":0.2470666744347755,"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."}}