{"id":"W6964131662","doi":"10.25625/08ju7l","title":"SUSENAS- KOR MODULE DATA- QUARTER 1 2013","year":2014,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Clothing; Work (physics); Window (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01876825,0.0011394,0.001507065,0.002204099,0.0008410015,0.0007141411,0.01097262,0.001193139,0.006084789],"category_scores_gemma":[0.007299456,0.001041685,0.0002393408,0.001345141,0.0009505624,0.0005957657,0.007680908,0.007790788,0.188214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329936,"about_ca_system_score_gemma":0.001167187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01031819,"about_ca_topic_score_gemma":0.01907233,"domain_scores_codex":[0.9813129,0.00434171,0.001472438,0.003327037,0.005858408,0.003687494],"domain_scores_gemma":[0.9806051,0.001986948,0.0005947049,0.01386168,0.001802125,0.001149388],"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":[0.0001420849,0.001165171,0.0000128995,0.0005666863,0.0003334507,0.0001787796,0.00001619177,0.000008097215,0.0001415845,0.000009157498,0.9964283,0.0009975819],"study_design_scores_gemma":[0.001108262,0.0003996352,0.00007373778,0.0003523146,0.0001349047,0.00003097903,0.00008922212,0.003022098,0.00001677201,0.00009726368,0.9936529,0.001021857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000259792,0.000981084,0.000008532955,0.003468686,0.0005986204,0.001706224,0.9922664,0.0003366265,0.0003740852],"genre_scores_gemma":[0.00001966197,0.0006480268,0.00291712,0.0002620733,0.007711133,0.000157571,0.9839708,0.000475682,0.003837926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1821292,"threshold_uncertainty_score":0.9992033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2725478403595932,"score_gpt":0.4895036011449155,"score_spread":0.2169557607853222,"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."}}