{"id":"W4365149637","doi":"10.1515/iupac.94.0305","title":"Cage","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","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; Chemistry; Epistemology; 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":[0.001095149,0.002464087,0.001548361,0.003329343,0.001297474,0.002990112,0.003384869,0.001983666,0.1619891],"category_scores_gemma":[0.005301377,0.0006514588,0.00177937,0.004267302,0.0004688772,0.002581049,0.002936318,0.002072154,0.2985081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291023,"about_ca_system_score_gemma":0.001959596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01829696,"about_ca_topic_score_gemma":0.04482092,"domain_scores_codex":[0.9985445,0.0002605324,0.0001602624,0.0005327169,0.0002971276,0.0002049761],"domain_scores_gemma":[0.9979533,0.0004389223,0.000178261,0.0007226801,0.0005310322,0.0001758032],"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":[0.00004992925,0.00001420281,0.0004006655,0.0004050401,0.00001708502,0.00001616569,0.00001652014,0.0001086182,0.0001183094,0.0005243625,0.9951205,0.003208612],"study_design_scores_gemma":[0.00009345176,0.0000161979,0.002069998,0.0002506132,0.00001845971,0.00006753319,0.00005757989,0.000279458,0.0002581093,0.00171035,0.9951515,0.00002681849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001174552,0.0001104941,0.0001664308,0.00008480735,0.00005219157,0.00002000094,0.996768,0.000811878,0.001868613],"genre_scores_gemma":[0.0001815815,0.00005696198,0.0003226285,0.00009482141,0.000008665877,0.00005876499,0.9982003,0.0001111452,0.0009652363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380109,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786454084678118,"score_gpt":0.408026970454784,"score_spread":0.3901624296080028,"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."}}