{"id":"W4406669161","doi":"10.1002/cjce.25604","title":"Semi‐empirical model of brine evaporation rate in lithium processing","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional del Sur; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Brine; Environmental science; Evaporation; Lithium (medication); Chemistry; Thermodynamics; Psychology; Organic chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000618584,0.0007269221,0.000718599,0.0005113091,0.0003033821,0.0006123526,0.001163522,0.001549092,0.001447236],"category_scores_gemma":[0.002676204,0.0006104451,0.0008740445,0.0003848517,0.0005925851,0.00100037,0.0003761621,0.0006952602,0.0005261851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430907,"about_ca_system_score_gemma":0.0005823633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194104,"about_ca_topic_score_gemma":0.004188252,"domain_scores_codex":[0.9997581,0.000061164,0.00001324264,0.0000640717,0.00006015421,0.00004326931],"domain_scores_gemma":[0.9985085,0.001033042,0.0001543897,0.00007310323,0.0002068565,0.00002401929],"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":[0.00003941035,0.00003578129,0.001698565,0.00004950506,0.00002013667,0.00009091856,0.00003741663,0.9915496,0.003453579,0.001047524,0.0001674591,0.001810028],"study_design_scores_gemma":[0.000002808766,0.000004906518,0.0002459923,0.000001825796,0.000002022563,0.000009786591,0.000002686523,0.9992307,0.0003296368,0.0001141547,0.00005240347,0.000003011358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6988047,0.001017212,0.286633,0.0006137291,0.00007658255,0.00021625,0.0009350106,0.0006724874,0.01103107],"genre_scores_gemma":[0.9911638,0.0002770424,0.004174061,0.00003019139,0.00000814223,0.0001419487,0.0001948718,0.00004222142,0.00396762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01194104,"threshold_uncertainty_score":0.02374309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684748628186905,"score_gpt":0.2478420669446987,"score_spread":0.2309945806628297,"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."}}