{"id":"W4240794853","doi":"10.1515/iupac.68.0016","title":"Branching Ratio","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Branching (polymer chemistry); Computer science; Linguistics; Philosophy; Chemistry; Mathematics","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":[0.0009739278,0.002370602,0.001790781,0.00419736,0.0006782703,0.002761388,0.002602187,0.00133846,0.07168326],"category_scores_gemma":[0.006511426,0.0006277882,0.001808574,0.004919216,0.0003353807,0.001843868,0.001267523,0.002147789,0.1035649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329638,"about_ca_system_score_gemma":0.001241186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009019495,"about_ca_topic_score_gemma":0.01597365,"domain_scores_codex":[0.9986765,0.0001263454,0.0001985647,0.0005733114,0.0002945952,0.0001305898],"domain_scores_gemma":[0.9976298,0.0006250986,0.0004055726,0.0007086255,0.0004876475,0.0001433376],"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":[0.0002878316,0.00006758297,0.005134111,0.001586591,0.0001322817,0.0000515279,0.00002495831,0.0007915851,0.000573967,0.0008637859,0.9767263,0.01375953],"study_design_scores_gemma":[0.0003521097,0.00006759307,0.01714904,0.0006225656,0.0001333457,0.0004124966,0.00006623325,0.001098351,0.001441807,0.004628342,0.9739383,0.00008972835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003327889,0.0002277844,0.0001862001,0.00003266627,0.00004137781,0.00001625701,0.9977138,0.0004850863,0.0009639502],"genre_scores_gemma":[0.0008492458,0.0001472345,0.000510494,0.00005995762,0.00001416752,0.00007177548,0.9975177,0.00008902812,0.0007403853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07168326,"threshold_uncertainty_score":0.2398044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008479881125125151,"score_gpt":0.3826857845343248,"score_spread":0.3742059034091996,"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."}}