{"id":"W4252345943","doi":"10.1515/iupac.68.0155","title":"Reaction Dynamics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Dynamics (music); Linguistics; Philosophy; Sociology; Mathematics; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104897,0.003126572,0.001463344,0.003601847,0.0007951542,0.002641606,0.003380721,0.001601522,0.07950614],"category_scores_gemma":[0.007304838,0.0009627889,0.002411349,0.005303422,0.0003934711,0.002061388,0.001721271,0.002658201,0.1005316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687266,"about_ca_system_score_gemma":0.002205347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340217,"about_ca_topic_score_gemma":0.02554934,"domain_scores_codex":[0.9986477,0.0001988483,0.0002265751,0.0005007969,0.0003047189,0.0001212994],"domain_scores_gemma":[0.9975917,0.000742777,0.0002988056,0.0008002976,0.0004103428,0.0001559294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001547876,0.00004926057,0.002013483,0.001896673,0.0001018326,0.00003919254,0.00003090831,0.001896415,0.0002973261,0.002123937,0.9826279,0.008768207],"study_design_scores_gemma":[0.0002238651,0.00002808627,0.00329525,0.0004738966,0.00006224541,0.0001218074,0.00003621516,0.001707979,0.0005805359,0.005205384,0.9882202,0.00004455888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001631385,0.0001653667,0.0003600234,0.00004050109,0.0000287356,0.0000176897,0.9976166,0.0007659039,0.0008420127],"genre_scores_gemma":[0.0004339304,0.0001298985,0.0006036846,0.00004553407,0.00000541493,0.00008199175,0.9981019,0.000101457,0.0004962214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07950614,"threshold_uncertainty_score":0.2659745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0063447887283292,"score_gpt":0.3413813164770759,"score_spread":0.3350365277487467,"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."}}