{"id":"W4398527840","doi":"10.7910/dvn/mv25mz/nanslf","title":"common_consumption_NSS.do","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Consumption (sociology); Art","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":[0.0009510674,0.002483963,0.001567092,0.00585271,0.0008483309,0.003502753,0.003100471,0.002358562,0.188161],"category_scores_gemma":[0.008366785,0.0008835571,0.001462753,0.01164196,0.0005947761,0.002283587,0.002824507,0.001860357,0.1689461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715351,"about_ca_system_score_gemma":0.002381834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04139109,"about_ca_topic_score_gemma":0.06430446,"domain_scores_codex":[0.9990805,0.0001600488,0.0001053723,0.0002772001,0.0001733606,0.000203424],"domain_scores_gemma":[0.9967825,0.0008763248,0.0004199965,0.0008616077,0.0007010571,0.0003584427],"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":[0.00003482689,0.000007782944,0.000546684,0.0004558897,0.00002488061,0.000007707102,0.00001486995,0.0001222792,0.00002617863,0.0004398701,0.997234,0.001084975],"study_design_scores_gemma":[0.0002257059,0.00001553702,0.003626624,0.0005371923,0.00003559598,0.00003657126,0.00009870495,0.0003218706,0.0001719192,0.001784308,0.9931096,0.00003646855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005053642,0.0000464351,0.00002115165,0.00006376819,0.00001736845,0.000002692199,0.9991185,0.0001823194,0.0004970794],"genre_scores_gemma":[0.0004212103,0.00008090831,0.0001129886,0.00007137233,0.00001243631,0.00003443404,0.9982398,0.0001230253,0.0009039068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.811839,"threshold_uncertainty_score":0.6294612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015106657553367,"score_gpt":0.2844432375565305,"score_spread":0.2442921709809968,"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."}}