{"id":"W4365147794","doi":"10.1515/iupac.94.0631","title":"Line Formula","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","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); Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007839556,0.002146906,0.001362024,0.002477936,0.001165004,0.003709516,0.002315208,0.001742615,0.3981408],"category_scores_gemma":[0.006606916,0.0006495515,0.001503526,0.003814586,0.0003477008,0.00322697,0.002233027,0.002030209,0.5874391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215592,"about_ca_system_score_gemma":0.001690765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145711,"about_ca_topic_score_gemma":0.03015699,"domain_scores_codex":[0.9987923,0.0001578039,0.0001480055,0.0004960369,0.0002120477,0.0001937733],"domain_scores_gemma":[0.997448,0.0005302458,0.0001844339,0.0008836354,0.0007581792,0.000195583],"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":[0.00003859348,0.000009160759,0.0003313301,0.0001908441,0.000007108625,0.000008616404,0.000008243122,0.00003756337,0.00006410857,0.0002748629,0.996083,0.002946578],"study_design_scores_gemma":[0.00007211639,0.00001429685,0.001922178,0.0001862239,0.00001081212,0.00005730035,0.00005180729,0.0001886192,0.0002296924,0.00140441,0.9958435,0.00001908195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001114107,0.00005826406,0.0001334184,0.000105516,0.00008314743,0.00001941255,0.9948998,0.0009939839,0.003595079],"genre_scores_gemma":[0.0002660154,0.00005360579,0.0003448479,0.0001646928,0.00001940875,0.0000510289,0.9958157,0.000258222,0.003026475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3981408,"threshold_uncertainty_score":0.858479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082334115588086,"score_gpt":0.4130596498634269,"score_spread":0.392236308707546,"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."}}