{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001234976,0.0001995999,0.0001875769,0.00001751816,0.00004066824,0.0000221003,0.0002457142,0.0002123956,0.003890711],"category_scores_gemma":[0.0001819479,0.0001913443,0.00007568511,0.0001999553,0.00006214892,0.00004312741,0.0001871912,0.0003166056,0.00009043449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470264,"about_ca_system_score_gemma":0.00002434783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004657007,"about_ca_topic_score_gemma":0.0007930825,"domain_scores_codex":[0.998706,0.000006085602,0.0001901608,0.0002942498,0.0005846633,0.0002188165],"domain_scores_gemma":[0.9994648,0.00002934564,0.00005767082,0.0003369522,0.00001050261,0.0001007113],"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":[0.000007733139,0.0000358819,0.000006380449,0.00004608895,0.000009482273,0.00001966696,0.000003046757,0.0003741896,0.0008564173,9.452526e-8,0.998322,0.0003190795],"study_design_scores_gemma":[0.0001176481,0.00001433606,0.00002898224,0.00004832148,0.00002378317,0.000003817814,0.000005603611,0.0001837351,0.000924431,0.00002783834,0.9984048,0.0002167074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001539155,0.00002598054,0.00002940218,0.0001621837,0.0001991971,0.00005975978,0.9978011,0.00009894441,0.00008429821],"genre_scores_gemma":[0.00003404409,0.0001560838,0.00002968905,0.00005839946,0.00026563,0.000007667162,0.9987321,0.00001955807,0.0006967696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003800276,"threshold_uncertainty_score":0.9970199,"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."}}