{"id":"W4235182567","doi":"10.1515/iupac.78.0490","title":"Population","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Population; Relation (database); Computer science; Management science; Data science; Engineering; Data mining; Environmental health; Medicine","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":[0.001164927,0.001256413,0.00122128,0.003526686,0.0007862876,0.002162259,0.002195376,0.001591461,0.1562302],"category_scores_gemma":[0.01062464,0.0004956599,0.0009402444,0.007647727,0.0003427709,0.002004718,0.001503702,0.001775048,0.1243973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602817,"about_ca_system_score_gemma":0.00268431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02817507,"about_ca_topic_score_gemma":0.03349232,"domain_scores_codex":[0.9984285,0.0002333851,0.0003057619,0.0005662194,0.0002987934,0.000167292],"domain_scores_gemma":[0.9966383,0.0009261845,0.0004397103,0.0006119534,0.001192398,0.0001915089],"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":[0.00006749362,0.00001219909,0.001843067,0.0005055657,0.00002282889,0.00002175054,0.00003026495,0.00009905067,0.00004904425,0.0006878781,0.992592,0.004068821],"study_design_scores_gemma":[0.0001465268,0.00001673916,0.006936921,0.0007581423,0.0000348534,0.0001102809,0.0001711627,0.0002056328,0.0001298913,0.001820239,0.9896395,0.0000301848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001379702,0.00007069944,0.00006385129,0.00008878605,0.00002197097,0.00002196693,0.9986266,0.00005823619,0.0009099861],"genre_scores_gemma":[0.0008301971,0.0001605837,0.0003198592,0.0001899844,0.00001926632,0.0003277922,0.9962257,0.00004532927,0.001881287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437698,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168254573769787,"score_gpt":0.4305858230236916,"score_spread":0.4137603656467129,"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."}}