{"id":"W4365142165","doi":"10.1515/iupac.94.0360","title":"Conformations","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); Computer science; Epistemology; Linguistics; Philosophy; Mathematics; Political science; Pure 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000327364,0.0004147198,0.0005023202,0.0001301611,0.0001839149,0.0001524062,0.0008881747,0.0006434745,0.009025919],"category_scores_gemma":[0.001528695,0.0004162411,0.0001998701,0.0002689276,0.0001535979,0.00008101382,0.0004095026,0.001389755,0.0001082108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006184576,"about_ca_system_score_gemma":0.00146935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002671602,"about_ca_topic_score_gemma":0.0006432138,"domain_scores_codex":[0.9967542,0.00001575552,0.0005456433,0.0004233815,0.001641944,0.0006191141],"domain_scores_gemma":[0.9976387,0.0001427,0.0002221083,0.001170203,0.0005470335,0.0002792472],"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":[0.00002415389,0.00009659951,0.000001687079,0.000803902,0.0001404916,0.0001195716,0.000010808,0.000005943206,0.0001579477,0.000003677983,0.9980041,0.0006310695],"study_design_scores_gemma":[0.0005142612,0.00001698719,0.000001181701,0.0002499954,0.00006630392,0.00002127406,0.00007476503,0.00005510551,0.0009340968,0.00007589004,0.9975923,0.0003978903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001141926,0.0001180302,0.000006111581,0.0004626914,0.0002284524,0.00009044888,0.9970844,0.0003142889,0.001581418],"genre_scores_gemma":[0.000004038357,0.000655141,0.00002006834,0.0000685468,0.0009998515,0.00003556207,0.9872974,0.00006085728,0.01085861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009787039,"threshold_uncertainty_score":0.9998289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610609389415303,"score_gpt":0.4357149116047104,"score_spread":0.4096088177105574,"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."}}