{"id":"W4365147823","doi":"10.1515/iupac.94.0778","title":"Radical","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","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":[0.001156582,0.002534312,0.001300633,0.003311582,0.001418246,0.003263519,0.003161208,0.001794678,0.1562811],"category_scores_gemma":[0.005332997,0.0006961258,0.001845558,0.003704901,0.0004694683,0.002753681,0.002844025,0.002582361,0.2959527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386421,"about_ca_system_score_gemma":0.001965944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01828572,"about_ca_topic_score_gemma":0.04798841,"domain_scores_codex":[0.9985789,0.0002489394,0.0001499227,0.0004993249,0.0003185922,0.00020439],"domain_scores_gemma":[0.997891,0.0004404734,0.000182439,0.0008021839,0.0005031043,0.0001807821],"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":[0.00005063285,0.00001586654,0.0004000498,0.0003296321,0.00001395364,0.00001272849,0.00001740215,0.0000952868,0.0000973995,0.0005521036,0.9946074,0.003807529],"study_design_scores_gemma":[0.00009231047,0.00001659584,0.002068412,0.0002320911,0.00001652602,0.00006250687,0.00007216175,0.0002590934,0.0002579487,0.001694115,0.9952021,0.00002614014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000208426,0.0001496931,0.0001818726,0.000124685,0.00008184121,0.00002353292,0.9951707,0.0009613271,0.00309789],"genre_scores_gemma":[0.0002793835,0.0000716112,0.000369792,0.0001113449,0.00001227067,0.00006421257,0.9972563,0.0001271987,0.001707867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1562811,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466417357165835,"score_gpt":0.4317732144271424,"score_spread":0.4071090408554841,"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."}}