{"id":"W4365147695","doi":"10.1515/iupac.94.0527","title":"Heterolytic Bond-Dissociation Energy","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; Heterolysis; Abandonment (legal); Meaning (existential); Chemistry; Engineering physics; Epistemology; Linguistics; Engineering; Philosophy; Political science; Organic chemistry","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":[0.0003867616,0.0005737572,0.0007138907,0.0001491252,0.0001801562,0.0001729532,0.0008907844,0.0009989041,0.002679344],"category_scores_gemma":[0.001529068,0.0006026044,0.0003054144,0.0003206182,0.0001158578,0.00007372479,0.000433053,0.001164714,0.0000268803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583434,"about_ca_system_score_gemma":0.001098369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006917695,"about_ca_topic_score_gemma":0.002191663,"domain_scores_codex":[0.9954905,0.00003335688,0.0006290406,0.000780374,0.002228217,0.0008385469],"domain_scores_gemma":[0.9973212,0.0001880916,0.0003663951,0.001321773,0.0004886199,0.0003139397],"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":[0.00006196664,0.0001725937,0.0000100312,0.0007268111,0.0002413365,0.000223577,0.000008343538,0.000005505561,0.0006190386,0.000003158796,0.997231,0.000696635],"study_design_scores_gemma":[0.000708553,0.00003714443,0.0000041699,0.0002831116,0.0001143967,0.0000151913,0.00003121534,0.00007924387,0.001926498,0.0002615437,0.9960078,0.0005311456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001949884,0.0003103151,0.00001351804,0.0005029893,0.0003024585,0.00005957165,0.9978388,0.0003153984,0.0004619394],"genre_scores_gemma":[0.00003563858,0.001067073,0.00001602289,0.0001151447,0.001852828,0.00003757284,0.9838606,0.0001149297,0.01290024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01397827,"threshold_uncertainty_score":0.9996426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863777337021115,"score_gpt":0.3985227273256174,"score_spread":0.3798849539554062,"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."}}