{"id":"W4242852724","doi":"10.1515/iupac.83.0323","title":"Activity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Multidisciplinary approach; Field (mathematics); Computer science; Process (computing); Data science; Management science; Sociology; Engineering; Linguistics; Biology; Mathematics; Social 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001051357,0.001789485,0.001282417,0.003068344,0.0009221608,0.003299562,0.002132964,0.00136627,0.14708],"category_scores_gemma":[0.009488979,0.0005453567,0.001601866,0.005209121,0.0003331539,0.002443036,0.001884545,0.001852633,0.1693517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449065,"about_ca_system_score_gemma":0.00226087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849185,"about_ca_topic_score_gemma":0.03075096,"domain_scores_codex":[0.9979529,0.0002374374,0.000387717,0.0006673954,0.0004937175,0.0002608471],"domain_scores_gemma":[0.9956765,0.0009969419,0.0005918095,0.001196753,0.001225893,0.0003121923],"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":[0.0001750014,0.00003644024,0.005595289,0.0009847371,0.00003567186,0.00002947471,0.00005041815,0.0002052081,0.0001538719,0.001668015,0.979453,0.01161292],"study_design_scores_gemma":[0.0001032887,0.00002501164,0.0117828,0.0005746536,0.00003975226,0.000131559,0.0001261594,0.0002434413,0.0003274808,0.001988271,0.9846244,0.00003308625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004134288,0.0001631614,0.0001535553,0.0001003268,0.00003885042,0.00003207739,0.9936323,0.000372501,0.005093887],"genre_scores_gemma":[0.001247594,0.00017332,0.0004439561,0.000122725,0.00001459519,0.0001124642,0.9941983,0.00009877273,0.003588319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8529201,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957878883579515,"score_gpt":0.4353450520503706,"score_spread":0.4157662632145754,"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."}}