{"id":"W4252194556","doi":"10.26434/chemrxiv.7848179","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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Chemical equation; Stoichiometry; Chemistry; Chemical reaction; Conservation of mass; Matrix (chemical analysis); Kinetics; Chemical thermodynamics; Key (lock); Computer science; Mathematics; Thermodynamics; Physics; Physical chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001020436,0.0003074541,0.0004068572,0.00007765162,0.0000500083,0.0001030589,0.0002177808,0.0004742657,0.00006538903],"category_scores_gemma":[0.0000183869,0.0003102067,0.00008920568,0.0001268319,0.0000818772,0.00005883991,0.0003269039,0.0006460772,0.000006509073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021137,"about_ca_system_score_gemma":0.00003295453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006303692,"about_ca_topic_score_gemma":0.00001101262,"domain_scores_codex":[0.9984298,0.00001149356,0.0003711202,0.0007428838,0.0001935148,0.0002511318],"domain_scores_gemma":[0.9988521,0.0000702486,0.0002692265,0.0005741397,0.000068442,0.0001657925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000641826,0.00003960344,0.0047301,0.0002283251,0.0001184096,2.217685e-7,0.0001119509,0.000001229937,0.9723229,0.0001113351,0.00003255923,0.02229699],"study_design_scores_gemma":[0.0007132875,0.00002980681,0.00624126,0.00009861265,0.0006880242,0.000004973287,0.0002240839,0.003824655,0.9765075,0.008401198,0.002423365,0.0008431625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970147,0.0002907647,0.0005391242,0.0004740982,0.00001590044,0.0001418966,0.0000408256,0.00008251535,0.001400156],"genre_scores_gemma":[0.9951731,0.0003443149,0.000705731,0.00003406185,0.0007460146,0.00006450658,0.002756339,0.00004667724,0.0001292496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02145383,"threshold_uncertainty_score":0.999935,"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."}}