{"id":"W4365149290","doi":"10.1515/iupac.94.0840","title":"Spin Label","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; Chemistry; Linguistics; Philosophy; Mathematics; Political science; Law","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":[0.001016523,0.002831844,0.001626998,0.003952183,0.001836192,0.003244916,0.003482077,0.002722535,0.1609285],"category_scores_gemma":[0.005230121,0.0007632374,0.0015743,0.004633756,0.0005762271,0.003215287,0.002935369,0.002954114,0.3085155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825178,"about_ca_system_score_gemma":0.002589016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209534,"about_ca_topic_score_gemma":0.06117634,"domain_scores_codex":[0.9987356,0.0001950869,0.0001319148,0.0004538615,0.0002886455,0.000194955],"domain_scores_gemma":[0.9975994,0.0004706345,0.0001788217,0.0008958542,0.0006229688,0.0002323431],"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":[0.00004613217,0.00001949164,0.0003013737,0.0003127113,0.00001078958,0.0000145521,0.00001280371,0.00009109533,0.0001218746,0.0004613325,0.995754,0.002853827],"study_design_scores_gemma":[0.000113467,0.00002163685,0.001536876,0.0002361938,0.00001664403,0.00007424751,0.00008204738,0.0004009198,0.0004085361,0.002718411,0.9943598,0.00003135795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001675361,0.0001236069,0.0001827927,0.0001131311,0.00008685943,0.00002516583,0.9953917,0.001176712,0.002732499],"genre_scores_gemma":[0.0002381598,0.00005652066,0.0004209127,0.00009503301,0.00001143915,0.0000559928,0.9975555,0.0001360155,0.001430305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1609285,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231498337115913,"score_gpt":0.4463146890641548,"score_spread":0.4139997056929957,"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."}}