{"id":"W4256247441","doi":"10.1515/iupac.83.0298","title":"Stern Plane","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mathematics and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Materials science; Catalysis; Organic chemistry; Philosophy; History; Archaeology","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":[0.0008945091,0.001953547,0.001772539,0.003817894,0.0009888267,0.005372313,0.002146359,0.001239732,0.3031173],"category_scores_gemma":[0.008792604,0.0006590814,0.001490426,0.007696211,0.0003864289,0.003908935,0.002878971,0.002153852,0.4581378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239923,"about_ca_system_score_gemma":0.002422015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199803,"about_ca_topic_score_gemma":0.01475123,"domain_scores_codex":[0.9982323,0.0002634017,0.0002563905,0.0005938576,0.000435377,0.0002185911],"domain_scores_gemma":[0.9967896,0.0007552224,0.0003118714,0.0009117447,0.0009625477,0.0002689587],"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":[0.00008561348,0.00001208158,0.0008400145,0.0006495783,0.00002573541,0.00002010317,0.00002809237,0.0001502963,0.00008246208,0.002065413,0.9832087,0.01283181],"study_design_scores_gemma":[0.00004857702,0.000008620407,0.001201121,0.0002369525,0.00001032733,0.00003558332,0.00005927514,0.0001188492,0.0001049218,0.001803957,0.9963605,0.0000112947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002179237,0.0003902087,0.0003254572,0.0002229649,0.00009438901,0.00003205565,0.9857277,0.001360947,0.01162824],"genre_scores_gemma":[0.00107684,0.000588635,0.0006740065,0.0002101166,0.00004603451,0.0001152958,0.9876091,0.0004858512,0.009194022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3031173,"threshold_uncertainty_score":0.9940186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04058205548893068,"score_gpt":0.4577115149129734,"score_spread":0.4171294594240427,"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."}}