{"id":"W4365147328","doi":"10.1515/iupac.94.0763","title":"Protophilicity","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; 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":[0.001525281,0.003293031,0.001567048,0.004651841,0.002080712,0.004102525,0.00332369,0.002290883,0.08073048],"category_scores_gemma":[0.008384845,0.0007189891,0.002224571,0.005409452,0.0007800834,0.002718302,0.003460063,0.00302939,0.1395959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536334,"about_ca_system_score_gemma":0.002286219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144368,"about_ca_topic_score_gemma":0.03674677,"domain_scores_codex":[0.9978524,0.0004703332,0.0002238822,0.0006648274,0.0004910037,0.0002975623],"domain_scores_gemma":[0.996991,0.001062737,0.0001991782,0.001091214,0.0004352505,0.0002205837],"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":[0.00006769285,0.00003081681,0.000703035,0.0005684727,0.00002832238,0.00003194865,0.00004232283,0.0002672323,0.0001201219,0.001015434,0.9936847,0.003439889],"study_design_scores_gemma":[0.0002378977,0.00003956383,0.003670525,0.0004224201,0.00003907948,0.0002059939,0.000154767,0.001204283,0.0006309131,0.004545265,0.9887994,0.00004995273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005451336,0.0002964016,0.0003017537,0.0001491653,0.00009012134,0.00003995821,0.9938748,0.001870962,0.002831649],"genre_scores_gemma":[0.0006573665,0.00009162643,0.000600849,0.00008506772,0.0000136049,0.0001127084,0.9973902,0.0001632455,0.0008854569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08073048,"threshold_uncertainty_score":0.2700704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746620985159132,"score_gpt":0.4356818526148823,"score_spread":0.408215642763291,"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."}}