{"id":"W4365149451","doi":"10.1515/iupac.94.0668","title":"Migratory Insertion","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Epistemology; Linguistics; Philosophy; Mathematics; Political science","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":[0.001140695,0.003059419,0.001673877,0.003704712,0.002020411,0.003827255,0.003294343,0.002308253,0.18231],"category_scores_gemma":[0.007287284,0.0007560728,0.002126324,0.005169749,0.0005396823,0.003719575,0.003589198,0.002549272,0.3488643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151339,"about_ca_system_score_gemma":0.002392967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299807,"about_ca_topic_score_gemma":0.06534789,"domain_scores_codex":[0.9980958,0.0002878747,0.0002321359,0.0007089478,0.0003743153,0.0003008703],"domain_scores_gemma":[0.9971213,0.0005848223,0.0001727922,0.001127685,0.0007729832,0.0002203364],"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":[0.00004909424,0.00001208812,0.0004171673,0.0002399899,0.000008317666,0.00001895288,0.0000176257,0.00006352837,0.00008799961,0.0004511752,0.9955928,0.003041179],"study_design_scores_gemma":[0.00006737131,0.00001194207,0.001549509,0.0001792269,0.00001149155,0.00008162617,0.0001160583,0.000273859,0.0002733833,0.001628319,0.9957833,0.0000239653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000231683,0.0001139731,0.0002235276,0.000120458,0.0001186319,0.00002857788,0.9933624,0.001835422,0.0039652],"genre_scores_gemma":[0.000292167,0.00006083476,0.000575933,0.0001264089,0.0000130995,0.00006394036,0.9967406,0.0002580507,0.001868878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.18231,"threshold_uncertainty_score":0.6098876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382586683946094,"score_gpt":0.4193997885503165,"score_spread":0.3955739217108556,"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."}}