{"id":"W4240569909","doi":"10.5194/acp-2019-699","title":"A predictive group-contribution model for the viscosity of aqueousorganic aerosol","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Viscosity; Aerosol; Aqueous solution; Chemistry; Thermodynamics; Relative viscosity; Citric acid; Organic chemistry","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":[0.0005484539,0.00108456,0.0006886563,0.0005401356,0.0004654335,0.001069291,0.001635819,0.00192909,0.001954322],"category_scores_gemma":[0.001728345,0.0004253356,0.001296764,0.0003397172,0.00084126,0.001210286,0.0008553458,0.001224698,0.0004361589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009740239,"about_ca_system_score_gemma":0.0009790638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01185595,"about_ca_topic_score_gemma":0.003990642,"domain_scores_codex":[0.9998075,0.00004380775,0.000008408625,0.00004712318,0.00006044824,0.00003264999],"domain_scores_gemma":[0.9995573,0.0001844631,0.00008223019,0.00002953519,0.0001010803,0.00004545832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002133151,0.00002829615,0.0005609185,0.0000200393,0.00001438752,0.00006432861,0.00003441151,0.9883397,0.002525423,0.006307488,0.0002787105,0.001805105],"study_design_scores_gemma":[0.000002705025,0.00000359687,0.00005382317,0.000001125233,0.000002420951,0.000002399357,0.000001285114,0.9990962,0.0001196081,0.0005965693,0.0001181196,0.000002214263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2884041,0.001127012,0.6860011,0.001101736,0.0003349269,0.0002292168,0.0008536163,0.0006070298,0.02134132],"genre_scores_gemma":[0.9677407,0.000412952,0.01945244,0.0001614741,0.00009259146,0.0002379069,0.0005178753,0.0001015819,0.01128261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01185595,"threshold_uncertainty_score":0.02357388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432103236421119,"score_gpt":0.2161436190092929,"score_spread":0.2018225866450817,"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."}}