{"id":"W4242121471","doi":"10.26434/chemrxiv.7848179.v1","title":"Chemical Reaction Stoichiometry: A Key Link between Thermodynamics and Kinetics, and an Excel Implementation","year":2019,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemical equation; Chemical reaction; Conservation of mass; Computer science; Stoichiometry; Linear algebra; Chemical thermodynamics; Key (lock); Matrix (chemical analysis); Set (abstract data type); Chemistry; Thermodynamics; Mathematics; Physical chemistry; Physics; Organic chemistry; Programming language","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":[0.002252909,0.001384518,0.0004800367,0.001195921,0.0004651889,0.003550536,0.002058699,0.00129455,0.03064285],"category_scores_gemma":[0.007792237,0.0007883545,0.0007166185,0.001203318,0.0008215722,0.003652425,0.00149042,0.001893812,0.01763039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005896451,"about_ca_system_score_gemma":0.0007680279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000526838,"about_ca_topic_score_gemma":0.0004124608,"domain_scores_codex":[0.9988031,0.0002198045,0.0001452822,0.0002337676,0.0005325879,0.00006544153],"domain_scores_gemma":[0.9984659,0.0008343007,0.00009250375,0.0002641056,0.0002835034,0.00005967942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003570395,0.0002638931,0.001214594,0.0009701456,0.00006995929,0.000510614,0.0004771316,0.01349407,0.02046819,0.4260286,0.05666884,0.479477],"study_design_scores_gemma":[0.0001518039,0.0002176368,0.0009820304,0.0004854023,0.00007297019,0.00116343,0.0001393745,0.1297113,0.0538434,0.3674325,0.445699,0.0001010852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003606363,0.0004300373,0.9303156,0.00072599,0.0002137061,0.0001783852,0.0008224965,0.02865412,0.03505344],"genre_scores_gemma":[0.04665305,0.001211146,0.9113221,0.0006755634,0.0002097775,0.0005522791,0.001400296,0.005673213,0.03230244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03064285,"threshold_uncertainty_score":0.1025105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669812741434739,"score_gpt":0.2975016781145549,"score_spread":0.2808035507002075,"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."}}