{"id":"W4365147784","doi":"10.1515/iupac.94.0670","title":"Minimum-Energy Reaction Path (Merp)","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); Path (computing); Field (mathematics); Computer science; Epistemology; Chemistry; Mathematics; Linguistics; Philosophy; Political science; Programming language; Pure mathematics","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":[0.0004317959,0.0006897822,0.0007888144,0.000180449,0.0001972195,0.0001449528,0.0009818744,0.001150558,0.002671606],"category_scores_gemma":[0.001375461,0.0007058867,0.0003204985,0.0004037977,0.0001681597,0.00009187256,0.0004787361,0.001594943,0.00003234833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231596,"about_ca_system_score_gemma":0.001513006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930763,"about_ca_topic_score_gemma":0.00160314,"domain_scores_codex":[0.9950227,0.00004705695,0.0007012789,0.0009911454,0.002336186,0.0009015936],"domain_scores_gemma":[0.9966059,0.0001926771,0.0003826896,0.001830118,0.0005831674,0.000405476],"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":[0.000141911,0.000253496,0.000003304552,0.000861284,0.0002341014,0.00055192,0.000007448157,0.000001862218,0.004332892,0.000004697557,0.9913213,0.002285821],"study_design_scores_gemma":[0.0007692722,0.00005601765,0.000002461547,0.0004327814,0.0001264383,0.00004887661,0.00007085859,0.00005773783,0.0023714,0.0001638807,0.9952448,0.0006554832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002696104,0.0003393368,0.00001197968,0.0003959299,0.0004884119,0.0000705973,0.9971127,0.0003742416,0.0009371784],"genre_scores_gemma":[0.00002254792,0.002408852,0.00002506671,0.00008384568,0.002653599,0.00004766172,0.9776799,0.0001420125,0.01693648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01943278,"threshold_uncertainty_score":0.9995392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204777415642805,"score_gpt":0.395288979533723,"score_spread":0.3748112379694425,"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."}}