{"id":"W4365147891","doi":"10.1515/iupac.94.0610","title":"Kinetic Ambiguity","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; Ambiguity; Meaning (existential); Abandonment (legal); Field (mathematics); Epistemology; Computer science; 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":[0.0004744549,0.0006423526,0.0007907887,0.0001359344,0.0001602812,0.0001625801,0.001365805,0.0009321913,0.009564688],"category_scores_gemma":[0.002386536,0.0006494321,0.0002965406,0.000369036,0.0002347452,0.00004627201,0.0007693088,0.002047918,0.00008498236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000921979,"about_ca_system_score_gemma":0.001347666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268518,"about_ca_topic_score_gemma":0.001753132,"domain_scores_codex":[0.9951112,0.00003625626,0.0006291913,0.0009009023,0.002372959,0.0009494976],"domain_scores_gemma":[0.9965881,0.0001625477,0.0002539483,0.002023031,0.0005568275,0.0004155467],"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":[0.00006214409,0.0002133027,0.00001052879,0.001678885,0.0001717156,0.0005542876,0.000005562769,0.000005557464,0.0005382109,0.000001568559,0.9958093,0.0009489781],"study_design_scores_gemma":[0.0007226997,0.00003864315,0.0000107266,0.0003907609,0.0001136238,0.00003105683,0.00002462805,0.00003003047,0.001143175,0.0001605359,0.99673,0.0006041183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003922128,0.0002936357,0.00000442519,0.000412328,0.0003464543,0.0001136693,0.9972563,0.0003799516,0.0008009669],"genre_scores_gemma":[0.00001539158,0.0009436285,0.00002855882,0.0000756058,0.001913161,0.0000370336,0.9841405,0.0001176738,0.01272848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01311589,"threshold_uncertainty_score":0.9995957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754614199298824,"score_gpt":0.4296021399208574,"score_spread":0.4020559979278692,"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."}}