{"id":"W2263056818","doi":"10.5194/gmd-9-247-2016","title":"Treatment of non-ideality in the SPACCIM multiphase model – Part 1: Model development","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich; McGill University","keywords":"Jacobian matrix and determinant; Activity coefficient; Aqueous solution; Solver; Chemistry; Aerosol; Intermolecular force; Thermodynamics; Statistical physics; Applied mathematics; Computer science; Physical chemistry; Physics; Mathematics; Molecule; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000800897,0.0003575745,0.0003576065,0.00003363794,0.0003443797,0.00006116524,0.0005507968,0.0001096713,0.0002423113],"category_scores_gemma":[0.00002501014,0.0001983177,0.00009416268,0.0002984735,0.0001749995,0.0002092107,0.00004124995,0.00007645623,0.00008896756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009083105,"about_ca_system_score_gemma":0.001005567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001806115,"about_ca_topic_score_gemma":0.001010117,"domain_scores_codex":[0.9970011,0.00004441764,0.0007988888,0.000747705,0.0007126477,0.0006952605],"domain_scores_gemma":[0.9988478,0.00009014447,0.0002052955,0.0005837395,0.00007901892,0.0001939673],"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":[0.0001275905,0.0005960736,0.01539163,0.00005691873,0.0000413652,0.00001841181,0.009085737,0.81552,0.003158771,0.00003355675,0.001190475,0.1547795],"study_design_scores_gemma":[0.001132089,0.00002606624,0.006327529,0.00005905187,0.00001096175,0.000004797775,0.000159796,0.9760674,0.01171318,0.0003755287,0.003740959,0.0003826859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283104,0.0000661158,0.168436,0.0002638221,0.0001685414,0.0004738789,0.0001863321,0.00002661342,0.002068278],"genre_scores_gemma":[0.9156589,0.00004183754,0.07487974,0.0000793643,0.00001995714,0.00004615441,0.0001711207,0.000007033925,0.009095913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1605474,"threshold_uncertainty_score":0.8087161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420378201668301,"score_gpt":0.2399150486903258,"score_spread":0.1978772285234957,"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."}}