{"id":"W4365147472","doi":"10.1515/iupac.94.0832","title":"Solvolysis","year":2023,"lang":"sv","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; Meaning (existential); Abandonment (legal); Field (mathematics); Epistemology; Computer science; Linguistics; Philosophy; Mathematics; Political science; Law","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":[0.0009367432,0.002922269,0.002011908,0.002839913,0.001509792,0.003253589,0.003861622,0.001956882,0.09335309],"category_scores_gemma":[0.00276927,0.0006818157,0.002378659,0.003546198,0.0004021803,0.002622089,0.002490958,0.002387864,0.1689757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309309,"about_ca_system_score_gemma":0.001680377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009288087,"about_ca_topic_score_gemma":0.02001163,"domain_scores_codex":[0.9988954,0.0001330722,0.0001238067,0.0003935245,0.0003005614,0.0001535923],"domain_scores_gemma":[0.9990456,0.0001990962,0.00009617754,0.0003924697,0.0001884344,0.00007826938],"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":[0.0002420094,0.00005185039,0.000889171,0.001396325,0.00006877471,0.00004280537,0.00002141352,0.0007300396,0.0008526396,0.001054244,0.9861065,0.008544226],"study_design_scores_gemma":[0.0003039446,0.00005801128,0.003976692,0.0004282882,0.00007118021,0.000168293,0.00007988884,0.001804051,0.003174787,0.005084142,0.9847699,0.00008080657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006519761,0.0004915326,0.00037899,0.00008367236,0.00007438426,0.00003141693,0.9925147,0.002215939,0.003557463],"genre_scores_gemma":[0.0005895485,0.0001741189,0.0005735785,0.00005575024,0.00000815474,0.00006532755,0.9973364,0.0001675271,0.001029512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09335309,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511629745067437,"score_gpt":0.4322504433797679,"score_spread":0.4071341459290935,"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."}}