{"id":"W4365147993","doi":"10.1515/iupac.94.0506","title":"Gibbs Energy of Activation","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; Abandonment (legal); Meaning (existential); 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":[0.0006967401,0.002177887,0.001714864,0.002728114,0.000786521,0.002807756,0.002806558,0.001684963,0.08516299],"category_scores_gemma":[0.00370508,0.0006282036,0.002113639,0.004328137,0.000431188,0.001947377,0.001046211,0.00290118,0.1143536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783303,"about_ca_system_score_gemma":0.001335983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407345,"about_ca_topic_score_gemma":0.02871419,"domain_scores_codex":[0.9992242,0.0001068586,0.00006977437,0.0003175757,0.0002025291,0.00007902839],"domain_scores_gemma":[0.9992125,0.0003112865,0.00006367828,0.0002307897,0.0001452213,0.00003642549],"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":[0.00008281715,0.00003952585,0.001270217,0.001126677,0.00006738221,0.00002219266,0.00002401153,0.005139822,0.0004588624,0.006226541,0.9736392,0.01190259],"study_design_scores_gemma":[0.0002123385,0.00004060566,0.006344101,0.0003885512,0.00006119531,0.0001622819,0.00006822841,0.01250157,0.002058254,0.04329091,0.9347695,0.0001026304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009560231,0.0007683975,0.001485332,0.0001323044,0.0001247167,0.00002807077,0.9872568,0.001714127,0.007534345],"genre_scores_gemma":[0.003573607,0.0005980118,0.002159991,0.0001351198,0.00002658835,0.0001742582,0.9895577,0.0005103654,0.003264382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08516299,"threshold_uncertainty_score":0.2848986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234767215807575,"score_gpt":0.4075276637713745,"score_spread":0.3851799916132987,"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."}}