{"id":"W4398516447","doi":"10.7910/dvn/8qpl75/kugiwx","title":"ott20130607_03.txt.gz","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007147008,0.0002444702,0.0004186003,0.0000807427,0.001171197,0.0002503943,0.0006916086,0.000377315,0.4950805],"category_scores_gemma":[0.00101467,0.0002828588,0.0001725019,0.0001773675,0.0004877629,0.0002677623,0.000322564,0.0003535191,0.5759315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436638,"about_ca_system_score_gemma":0.001678271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234711,"about_ca_topic_score_gemma":0.01275937,"domain_scores_codex":[0.9980362,0.0002547556,0.0003366924,0.0004951163,0.0003773395,0.0004998797],"domain_scores_gemma":[0.9985562,0.0002386853,0.0002304071,0.0005876914,0.0001511364,0.0002358784],"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":[0.000003774108,0.000069253,0.00002815605,0.00002433825,0.0001277813,0.00001994434,0.0009563931,1.659507e-7,1.463251e-7,0.001010171,0.9972997,0.0004601393],"study_design_scores_gemma":[0.000122938,0.000005554239,0.00009532691,0.00003644451,0.00009617743,0.000001054679,0.007048308,1.86548e-7,3.301579e-7,0.0001291328,0.9921489,0.0003156753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001891826,0.000003228722,0.000002319473,0.00007980012,0.003337702,0.0002033235,0.9801863,0.00004383222,0.01612454],"genre_scores_gemma":[0.000007775549,0.003808292,0.0001072619,0.001009902,0.003279368,0.00004806272,0.982173,0.00001539704,0.009550941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08085104,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398761031292092,"score_gpt":0.3028626544664393,"score_spread":0.2688750441535184,"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."}}