{"id":"W4230519363","doi":"10.1515/iupac.70.0006","title":"Nomenclature for Specifying Conformation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemical nomenclature; Nomenclature; Field (mathematics); Computer science; Task (project management); Library science; Engineering ethics; Data science; Chemistry; Biology; Engineering; Taxonomy (biology); Mathematics; Ecology","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":[0.005664357,0.002950503,0.001966002,0.007204926,0.001334444,0.005397011,0.005057557,0.00327161,0.09600575],"category_scores_gemma":[0.02615404,0.001397244,0.001907846,0.01175884,0.0009583648,0.005058364,0.003954348,0.006283706,0.1528026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002834595,"about_ca_system_score_gemma":0.007528339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01173925,"about_ca_topic_score_gemma":0.02010748,"domain_scores_codex":[0.9939808,0.001218191,0.001638052,0.001573022,0.001109554,0.000480496],"domain_scores_gemma":[0.9844851,0.003783804,0.002198093,0.005782044,0.002871344,0.0008795253],"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":[0.0001157439,0.00002078659,0.00165566,0.001310385,0.00003917763,0.00003739593,0.00004446949,0.0002649818,0.0002982529,0.001985978,0.9873285,0.006898677],"study_design_scores_gemma":[0.0001223597,0.0000118045,0.001623296,0.0005482182,0.00002319234,0.00007822252,0.00004443993,0.0001862211,0.000451409,0.00276663,0.9941139,0.00003034039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001024817,0.0001381985,0.0006903977,0.000167601,0.00008120383,0.00004196507,0.9967109,0.0009080332,0.001159207],"genre_scores_gemma":[0.0003440962,0.00016365,0.00190177,0.000180465,0.00001138381,0.0001944929,0.9964638,0.0001932832,0.0005470767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09600575,"threshold_uncertainty_score":0.3211712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411698957732758,"score_gpt":0.4018498450918518,"score_spread":0.3877328555145242,"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."}}