{"id":"W4398331526","doi":"10.7910/dvn/8qpl75/q5sghk","title":"ott20140313_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":[0.000754714,0.0002432969,0.0004185354,0.00008115234,0.00116369,0.0002410353,0.0006890685,0.0003755381,0.4688297],"category_scores_gemma":[0.001017685,0.0002820585,0.0001729008,0.0001752712,0.0004868076,0.0002553762,0.0003204374,0.0003510603,0.5715405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004282505,"about_ca_system_score_gemma":0.001675631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144258,"about_ca_topic_score_gemma":0.0125606,"domain_scores_codex":[0.9980336,0.0002677579,0.0003326826,0.0004945455,0.000375604,0.0004958451],"domain_scores_gemma":[0.998561,0.0002441165,0.0002303103,0.0005879536,0.0001467474,0.0002299357],"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":[0.000003990015,0.00006719981,0.00003209162,0.0000250692,0.0001257703,0.00001986588,0.0009207863,1.984444e-7,1.86728e-7,0.001086754,0.9973892,0.0003289099],"study_design_scores_gemma":[0.0001233364,0.000005526136,0.00009886832,0.00003708629,0.00009700402,0.000001060607,0.006807756,1.555021e-7,4.092333e-7,0.0001522672,0.9923618,0.0003147231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001594202,0.000003109877,0.000003285804,0.00007361959,0.003363054,0.0001957837,0.9792332,0.00004380419,0.01706822],"genre_scores_gemma":[0.000009249727,0.003517055,0.0001141158,0.0009964356,0.00333599,0.00004563561,0.9834056,0.00001536408,0.008560583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1027109,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338179710633521,"score_gpt":0.3030016169380342,"score_spread":0.269619819831699,"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."}}