{"id":"W4253246448","doi":"10.1515/iupac.73.0570","title":"Rendering","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Commission; Rendering (computer graphics); Chemistry; Table (database); Food science; Product (mathematics); Biochemistry; Chemical nomenclature; Organic chemistry; Computer science; Polymer science; Mathematics; Political science; Database; Computer graphics (images); Law","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":[0.00116429,0.002596275,0.001346244,0.003756017,0.00115453,0.004437802,0.003041101,0.002487798,0.1466194],"category_scores_gemma":[0.0106202,0.0006447039,0.001916561,0.006200525,0.0005097954,0.003492849,0.003070799,0.00217304,0.2670387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636511,"about_ca_system_score_gemma":0.002812547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02185104,"about_ca_topic_score_gemma":0.03625678,"domain_scores_codex":[0.9977089,0.0003264302,0.000262092,0.0008587882,0.0005285349,0.0003151166],"domain_scores_gemma":[0.9968719,0.0006824463,0.0002306559,0.0009989826,0.0009914936,0.0002246207],"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":[0.00008193659,0.00001748832,0.001143218,0.0005745099,0.00002489142,0.0000228403,0.00002485622,0.0002490813,0.0001238517,0.0009957181,0.9904653,0.006276335],"study_design_scores_gemma":[0.00008609347,0.00001194266,0.001882249,0.0003583111,0.00001952383,0.00005555242,0.00008265029,0.0003465007,0.0002528758,0.002286455,0.9945997,0.00001815716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001456491,0.0001457826,0.0002098381,0.000131945,0.0000745781,0.00001857736,0.9962148,0.000862429,0.002196396],"genre_scores_gemma":[0.0004220077,0.000101444,0.0003892336,0.0001018734,0.00001277658,0.00004701543,0.9975463,0.000116027,0.001263344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1466194,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198956592545693,"score_gpt":0.4281052465179818,"score_spread":0.4061156805925248,"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."}}