{"id":"W2063686062","doi":"10.1007/s11270-015-2299-4","title":"Monitoring Simulated Bioflocculation: Application of Micro-Flow Imaging Technology","year":2015,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Environmental and Sediment Control","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Flocculation; Porosity; Particle (ecology); Particle size; Calcium; Materials science; Chemistry; Particle aggregation; Chemical engineering; Mineralogy; Chromatography; Composite material; Nanotechnology; Nanoparticle; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001468892,0.000114995,0.0001112827,0.00006170363,0.00007203782,0.000006381457,0.0001269137,0.00007071283,0.00004834728],"category_scores_gemma":[0.000004653345,0.00009241949,0.00003764179,0.0001551399,0.0001545818,0.0002115511,0.0001268369,0.00007049338,0.00054358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286295,"about_ca_system_score_gemma":0.000003001284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002435461,"about_ca_topic_score_gemma":0.00000456092,"domain_scores_codex":[0.9990845,0.00002451892,0.0002172105,0.0002341864,0.0002161009,0.0002235005],"domain_scores_gemma":[0.9996465,0.000003300376,0.00006268498,0.000214483,0.000008154969,0.0000648233],"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":[0.00002154532,0.00005504149,0.2536483,0.000002440199,0.00000659742,0.000001086333,0.000216077,0.07641837,0.6422082,0.000007176508,0.00003542411,0.02737978],"study_design_scores_gemma":[0.001044612,0.00005254966,0.06314732,0.00001466385,0.00002671291,0.000007031975,0.0001415611,0.06651651,0.8647553,0.001030266,0.003048844,0.0002146685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928701,0.00008853299,0.004695461,0.001097421,0.0001387854,0.0002005549,0.000003554242,0.00007780777,0.0008277858],"genre_scores_gemma":[0.998841,0.000003833669,0.0008246637,0.00006332376,0.00005522842,0.00001247527,0.00001523131,0.00001105719,0.0001731262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2225471,"threshold_uncertainty_score":0.6986802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005654036845522782,"score_gpt":0.2013017748409784,"score_spread":0.1956477379954557,"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."}}