{"id":"W4251431303","doi":"10.1515/iupac.83.0462","title":"Target","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); Computer science; Field (mathematics); Multidisciplinary approach; Process (computing); Data science; Component (thermodynamics); Management science; Sociology; Engineering; Biology; Linguistics; Mathematics","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":[0.001124506,0.001649165,0.001670683,0.002855508,0.001105818,0.003543697,0.002661471,0.001763284,0.1456164],"category_scores_gemma":[0.008469268,0.0006775199,0.001548115,0.005261788,0.0004015262,0.002387832,0.002421244,0.002334679,0.2144658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807539,"about_ca_system_score_gemma":0.002619344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01536621,"about_ca_topic_score_gemma":0.02455262,"domain_scores_codex":[0.9980077,0.00021044,0.0002739512,0.0007386239,0.0005407127,0.0002285525],"domain_scores_gemma":[0.9964964,0.0007045729,0.0004605546,0.001023782,0.001079851,0.0002349232],"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":[0.00009427621,0.00001610223,0.001915355,0.0008599354,0.00002930898,0.0000320415,0.00003382934,0.0002045204,0.0002187527,0.001295062,0.9881269,0.007173914],"study_design_scores_gemma":[0.00007565411,0.00001587618,0.004559906,0.000474473,0.00004072917,0.0001380324,0.00007456016,0.0002187415,0.0003902307,0.002027052,0.991959,0.00002578712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000241411,0.000200346,0.0002847564,0.0001279631,0.00005065724,0.00002737279,0.9939855,0.000396631,0.004685485],"genre_scores_gemma":[0.0006800235,0.0001551506,0.0004474001,0.0001602168,0.00001246071,0.000103429,0.995739,0.0001282609,0.002574103],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8543836,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460560211217833,"score_gpt":0.4136236750532725,"score_spread":0.3990180729410942,"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."}}