{"id":"W4365147792","doi":"10.1515/iupac.94.0227","title":"Activation Strain Model","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; Mathematics; Philosophy; 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":[0.000564921,0.002500473,0.001139276,0.001689465,0.000689839,0.002309321,0.004651055,0.002114503,0.07770126],"category_scores_gemma":[0.002506819,0.0006047359,0.00260233,0.002244182,0.000351837,0.00170508,0.001033188,0.002733192,0.08752672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143516,"about_ca_system_score_gemma":0.001541972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02187558,"about_ca_topic_score_gemma":0.04792046,"domain_scores_codex":[0.9995325,0.00006480874,0.00003049349,0.0001874278,0.0001110176,0.00007376206],"domain_scores_gemma":[0.9995071,0.0001463018,0.00002467645,0.0001553702,0.0001323091,0.00003430449],"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":[0.0002423612,0.0001336034,0.001754741,0.0006654446,0.00009290639,0.00007719454,0.00002175612,0.03544186,0.0006058316,0.007932032,0.9293681,0.0236643],"study_design_scores_gemma":[0.0004099337,0.0001038116,0.002907937,0.0003847745,0.00008359612,0.0002425052,0.0001003789,0.1626593,0.002301614,0.04416442,0.7865467,0.0000950051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003175222,0.001045679,0.009228796,0.0007366304,0.000357418,0.0001277435,0.96452,0.007386483,0.01342195],"genre_scores_gemma":[0.007348311,0.0005123607,0.006100298,0.0002520214,0.00003715402,0.0002606419,0.9772423,0.0005342101,0.007712731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07770126,"threshold_uncertainty_score":0.2599366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364922245130995,"score_gpt":0.4345869328595289,"score_spread":0.3980947083464293,"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."}}