{"id":"W1488018772","doi":"10.1002/0471799742.ch12","title":"Coagulation of Particles","year":2005,"lang":"en","type":"other","venue":"","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coagulation; Computer science; Medicine; Internal medicine","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":[0.0001944016,0.0004425487,0.0006057177,0.0006382436,0.0005121373,0.001231317,0.0004296047,0.0006947976,0.01815397],"category_scores_gemma":[0.0003226161,0.0003234757,0.0004989169,0.0005075321,0.0003983258,0.0008677875,0.0007914659,0.0007807026,0.00579175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709225,"about_ca_system_score_gemma":0.0004998677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007554023,"about_ca_topic_score_gemma":0.0007127899,"domain_scores_codex":[0.9996406,0.00002074566,0.00001045088,0.0001020925,0.000198811,0.00002733506],"domain_scores_gemma":[0.999938,0.00001463654,0.000007468771,0.000009761927,0.00002312942,0.000006916409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001180776,0.0002357679,0.0009141628,0.001198887,0.00005584583,0.0006580318,0.000826099,0.01384892,0.3150583,0.2436716,0.06696152,0.3564527],"study_design_scores_gemma":[0.00004651956,0.0002111619,0.003274248,0.0002348418,0.00003094859,0.0009096372,0.0001744278,0.02341105,0.1899271,0.04016374,0.7415551,0.00006114856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1176687,0.04778568,0.2986329,0.00375905,0.006203022,0.0009311062,0.001933613,0.001219829,0.5218661],"genre_scores_gemma":[0.1683243,0.0334839,0.0489272,0.001127657,0.0009402055,0.0003871784,0.002126293,0.0002995726,0.7443837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01815397,"threshold_uncertainty_score":0.06073105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530514705915095,"score_gpt":0.2500372042224941,"score_spread":0.2347320571633432,"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."}}