{"id":"W4365142281","doi":"10.1515/iupac.94.0666","title":"Migration","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Abandonment (legal); Meaning (existential); Field (mathematics); Epistemology; Computer science; 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":[0.001257978,0.002531593,0.001323914,0.003439161,0.001435298,0.003736411,0.003101603,0.001846431,0.1577311],"category_scores_gemma":[0.007042299,0.0006696102,0.00198825,0.004693449,0.0004228542,0.003536389,0.00294362,0.002218351,0.2710535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133706,"about_ca_system_score_gemma":0.002328179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02914826,"about_ca_topic_score_gemma":0.05773509,"domain_scores_codex":[0.9984049,0.0002407662,0.0002025399,0.0006101971,0.0002801169,0.0002613515],"domain_scores_gemma":[0.9973097,0.000532378,0.0002012673,0.001045351,0.0007171643,0.0001942111],"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":[0.00004579434,0.000009720264,0.0005223756,0.0002698082,0.0000134549,0.00001361645,0.00001977387,0.00008184342,0.00007451722,0.000472031,0.9956371,0.002839938],"study_design_scores_gemma":[0.00007414566,0.000009692083,0.002160346,0.0002243811,0.00001355419,0.00004615846,0.0001026766,0.0002223711,0.0001872514,0.001509909,0.9954259,0.00002367297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001318529,0.00007097996,0.0001172749,0.0000933791,0.00006810964,0.00001500621,0.9965755,0.0009434279,0.001984384],"genre_scores_gemma":[0.0002221373,0.00004739041,0.0003121077,0.00008397848,0.00001004439,0.00004577096,0.99792,0.0001533542,0.001205258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1577311,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007426329626276471,"score_gpt":0.3342278520303676,"score_spread":0.3268015224040911,"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."}}