{"id":"W4233081249","doi":"10.1515/iupac.68.0185","title":"Temperature Jump","year":2016,"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 Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Jump; Computer science; Linguistics; Philosophy; Mathematics; Physics","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":[0.000615478,0.002709322,0.001483023,0.002379854,0.000900926,0.002436751,0.002977588,0.001919218,0.0679732],"category_scores_gemma":[0.004154811,0.0006363746,0.002290954,0.003250282,0.0003971393,0.002141223,0.001670874,0.002332059,0.1258319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329695,"about_ca_system_score_gemma":0.001473202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949518,"about_ca_topic_score_gemma":0.04442688,"domain_scores_codex":[0.99909,0.00008780116,0.0001161427,0.0003786391,0.0001949961,0.0001325592],"domain_scores_gemma":[0.9988041,0.0002304093,0.0001243135,0.0004547961,0.0002845159,0.0001018582],"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":[0.0001700986,0.0000392388,0.001703403,0.0007515074,0.00004789781,0.00003098431,0.00001616284,0.0006549419,0.0002209568,0.0005874098,0.9901394,0.005637951],"study_design_scores_gemma":[0.0003005339,0.00005191624,0.008625869,0.0005029503,0.00006407462,0.0002009242,0.00007664854,0.002005807,0.00115754,0.003142521,0.9837946,0.00007661586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003590804,0.0001940449,0.0001838418,0.00006496189,0.00008232473,0.00002067902,0.9966056,0.001170385,0.001319076],"genre_scores_gemma":[0.0006646537,0.0001050936,0.0004197633,0.00007138446,0.0000128735,0.00005027058,0.997687,0.0001129053,0.0008761263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0679732,"threshold_uncertainty_score":0.227393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317904073686843,"score_gpt":0.3991964260533354,"score_spread":0.386017385316467,"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."}}