{"id":"W2890363525","doi":"10.1002/lom3.10274","title":"High‐resolution imaging particle analysis of freshwater cyanobacterial blooms","year":2018,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Capital District Health Authority; University of Calgary; Alberta Health; University of Alberta","funders":"","keywords":"Context (archaeology); Enumeration; Microscopy; Environmental science; Instrumentation (computer programming); Magnification; Biology; Ecology; Computer science; Physics; Artificial intelligence; Mathematics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006928639,0.0001090176,0.0002837311,0.0001204651,0.0001229143,0.00001173155,0.0001140324,0.00008483283,0.0009525199],"category_scores_gemma":[0.0000261056,0.00009067623,0.0001041334,0.0006832785,0.000608706,0.0001003299,0.0001035109,0.00006761801,0.00001221132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008697035,"about_ca_system_score_gemma":0.000002580889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114695,"about_ca_topic_score_gemma":0.0007814314,"domain_scores_codex":[0.9988322,0.0003224433,0.0002745017,0.0002561852,0.00007998895,0.0002346852],"domain_scores_gemma":[0.9994516,0.0001144139,0.0001261473,0.0002341544,0.0000124791,0.00006117842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005365538,0.00004106744,0.9723221,0.000005617441,0.0002814321,0.000001385261,0.0004581379,0.00008284712,0.01888392,0.002176546,0.00006667135,0.005626637],"study_design_scores_gemma":[0.0004973935,0.0002130478,0.8632811,0.00000825281,0.0008716359,0.000008608047,0.0001174124,0.1007014,0.02587106,0.003650066,0.004534392,0.0002455608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580719,0.0000644303,0.04096323,0.00007259971,0.0002918492,0.00006590025,0.00002570372,0.00002484974,0.0004195599],"genre_scores_gemma":[0.9375843,0.0000194914,0.06219936,0.00008774725,0.00005128543,0.000003244281,0.0000127015,0.000005652802,0.00003616552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090409,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00920989640388338,"score_gpt":0.2735829810650927,"score_spread":0.2643730846612093,"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."}}