{"id":"W2019860844","doi":"10.1007/s10811-015-0569-6","title":"Identification and quantification of suspended algae and bacteria populations using flow cytometry: applications for algae biofuel and biochemical growth systems","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Phycology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Connaught Fund; University of Toronto","keywords":"Biology; Algae; Cyanobacteria; Axenic; Botany; Biomass (ecology); Biofuel; Microorganism; Bacteria; Phototroph; Ecology; Photosynthesis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051224,0.0005685824,0.0003981862,0.001043354,0.0006511497,0.001068048,0.0006112197,0.0009250971,0.0009983173],"category_scores_gemma":[0.0007164624,0.000313237,0.000309667,0.0006443869,0.0004545735,0.0009375241,0.0006988225,0.0009222663,0.0004110544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004736001,"about_ca_system_score_gemma":0.00063102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006580653,"about_ca_topic_score_gemma":0.001398748,"domain_scores_codex":[0.9995784,0.00007479365,0.00003834954,0.0001187494,0.0001547042,0.00003494863],"domain_scores_gemma":[0.9994773,0.0001498077,0.00007650375,0.00003844951,0.0001874983,0.00007045545],"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":[0.00006873896,0.0000600061,0.001936947,0.00007195576,0.000008310337,0.00001254919,0.00006391259,0.0001808309,0.9833997,0.0003313221,0.0001273619,0.01373842],"study_design_scores_gemma":[0.00001439167,0.0001593613,0.007117537,0.0000226403,0.00004154545,0.0001246012,0.0001405818,0.01444416,0.9735017,0.001079478,0.003320943,0.00003302741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5799177,0.00342309,0.409777,0.001183667,0.0002521652,0.0003550329,0.001421401,0.0008759864,0.002793954],"genre_scores_gemma":[0.5966901,0.004051066,0.3907428,0.0005701912,0.0001356494,0.0006327328,0.001128871,0.0001117557,0.005936836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001068048,"threshold_uncertainty_score":0.005559444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05295235542335151,"score_gpt":0.2977095863499473,"score_spread":0.2447572309265958,"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."}}