{"id":"W4398305921","doi":"10.7910/dvn/8qpl75/o3uauf","title":"ott20150312_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":"Computer science","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":[0.0007556605,0.0002435147,0.0004194937,0.00008129398,0.001145402,0.0002451802,0.0006781277,0.0003768211,0.4648367],"category_scores_gemma":[0.001045929,0.0002821549,0.0001699594,0.0001818999,0.0004885852,0.0002631822,0.000326246,0.0003530492,0.5642691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004485562,"about_ca_system_score_gemma":0.001733859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067478,"about_ca_topic_score_gemma":0.01216584,"domain_scores_codex":[0.9980285,0.0002608623,0.0003357637,0.0004935099,0.0003840368,0.0004973268],"domain_scores_gemma":[0.998559,0.0002322108,0.0002299682,0.0005867824,0.0001544821,0.0002375422],"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":[0.000004004028,0.00006934258,0.00003105216,0.00002418064,0.0001271232,0.00002150004,0.001099446,1.918659e-7,1.795252e-7,0.001004523,0.9973012,0.0003172207],"study_design_scores_gemma":[0.0001255502,0.000005639817,0.0001039022,0.00003638019,0.00009720224,0.000001141598,0.009109551,1.482104e-7,3.711974e-7,0.0001524198,0.9900534,0.0003143129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001825661,0.000003121597,0.000003010645,0.00007601197,0.003370237,0.0001987217,0.9801906,0.00004392982,0.01609613],"genre_scores_gemma":[0.000009266471,0.003336587,0.0001181886,0.0009892145,0.003321005,0.00004547571,0.9839676,0.00001535526,0.008197318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09943244,"threshold_uncertainty_score":0.999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543876204320195,"score_gpt":0.3056121405668741,"score_spread":0.2701733785236721,"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."}}