{"id":"W4365149258","doi":"10.1515/iupac.94.0313","title":"Carbocation","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; Meaning (existential); Abandonment (legal); Field (mathematics); Epistemology; Chemistry; 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":[0.0006969659,0.002889096,0.001787807,0.003694206,0.00145659,0.003035224,0.003629132,0.00224291,0.1348628],"category_scores_gemma":[0.00329925,0.0007308585,0.002035188,0.004752901,0.0004612129,0.002375874,0.00212014,0.002507298,0.1924752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182216,"about_ca_system_score_gemma":0.002198555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714864,"about_ca_topic_score_gemma":0.06121823,"domain_scores_codex":[0.9990059,0.0001240577,0.0001016295,0.0003478964,0.0002746455,0.000146035],"domain_scores_gemma":[0.9988288,0.0002587352,0.0001292653,0.0004063215,0.0002640329,0.0001128641],"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":[0.0001233113,0.00003594309,0.0006175901,0.001208632,0.00003173903,0.00003623733,0.00001849463,0.0003190812,0.0003813483,0.0009846562,0.9911589,0.005084026],"study_design_scores_gemma":[0.0001634091,0.00002702701,0.002427855,0.0003550659,0.00003499937,0.0001072045,0.00005467975,0.0004506113,0.0006758648,0.001991803,0.9936717,0.00003974195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002477751,0.0003187205,0.0001327442,0.00006080503,0.00004712242,0.00002170886,0.9958802,0.0007703778,0.002520555],"genre_scores_gemma":[0.0003306328,0.0001430037,0.0003068844,0.00005824571,0.000006019349,0.00004624944,0.9978768,0.0000890605,0.001143156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1348628,"threshold_uncertainty_score":0.451161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444817210292952,"score_gpt":0.4332526087410409,"score_spread":0.4088044366381114,"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."}}