{"id":"W4237388136","doi":"10.1515/iupac.68.0027","title":"Chain Initiation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Linguistics; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000161131,0.0002724328,0.0002733536,0.000172751,0.00004805472,0.00004992516,0.0001838376,0.0002792619,0.001930474],"category_scores_gemma":[0.00008755468,0.0002248705,0.00005673316,0.00008573349,0.00002143923,0.0001028415,0.00003434494,0.0002341338,0.000002679738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274545,"about_ca_system_score_gemma":0.00008992972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009984106,"about_ca_topic_score_gemma":0.0000936949,"domain_scores_codex":[0.9988538,0.00001494065,0.000271683,0.0002033657,0.0004228531,0.000233345],"domain_scores_gemma":[0.9993639,0.00002658123,0.00007380705,0.0003273448,0.0001363244,0.00007207271],"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":[0.000009441384,0.00001519176,5.168882e-7,0.0003160472,0.00002939,0.000006360186,0.000007403666,0.003196732,0.000001267844,0.000003766749,0.9923496,0.004064253],"study_design_scores_gemma":[0.0003057131,0.00002743911,0.000009216048,0.0002251654,0.00003200753,0.000002350076,0.000002485612,0.0008188732,0.00009970663,0.00008073391,0.9981023,0.0002939749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002218341,0.0004333876,0.009499392,0.00007247921,0.0007815903,0.0001378116,0.9886638,0.0002516171,0.0001377686],"genre_scores_gemma":[0.0001080571,0.002013783,0.00008383633,0.00006137857,0.000704219,0.00001488472,0.9968629,0.00004606245,0.0001048382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009415556,"threshold_uncertainty_score":0.9989819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009777928143074934,"score_gpt":0.3243282003605715,"score_spread":0.3145502722174966,"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."}}