{"id":"W4365147077","doi":"10.1515/iupac.94.0846","title":"Stereoelectronic","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","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; Computer science; 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":[0.0006890164,0.003142818,0.001595652,0.003468778,0.001260777,0.002653841,0.003272284,0.001906785,0.1823067],"category_scores_gemma":[0.003451312,0.0007102662,0.001536972,0.005017094,0.0004234767,0.002630149,0.002495853,0.002274722,0.325677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433742,"about_ca_system_score_gemma":0.001939863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02456585,"about_ca_topic_score_gemma":0.0588484,"domain_scores_codex":[0.9989772,0.0001271189,0.0001068621,0.0003524734,0.0002813388,0.0001550864],"domain_scores_gemma":[0.9986269,0.000236895,0.0001291498,0.0004621557,0.0004306757,0.0001141237],"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":[0.00005134493,0.00001888136,0.0003756473,0.0004469458,0.00001276041,0.00001615828,0.00001252164,0.0001142911,0.0001702094,0.0005190722,0.9936925,0.004569688],"study_design_scores_gemma":[0.00008456492,0.0000164991,0.002651988,0.0002152719,0.00001702742,0.00007302163,0.00006088189,0.000279082,0.0003953796,0.001805609,0.9943709,0.00002974961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001260125,0.0001098849,0.0001535263,0.0000471459,0.00003588142,0.0000155023,0.9960726,0.0006658655,0.002773459],"genre_scores_gemma":[0.0002161324,0.00006790757,0.0003160687,0.00006150022,0.000006618053,0.00003654845,0.9977495,0.00007712693,0.001468532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8176932,"threshold_uncertainty_score":0.6098768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072822683663194,"score_gpt":0.3580245798757084,"score_spread":0.3472963530390765,"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."}}