{"id":"W4398519759","doi":"10.7910/dvn/8qpl75/d4wdfg","title":"ott20150311_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":"Physics","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":[0.001043137,0.002625447,0.002142086,0.004744902,0.001033739,0.005434848,0.003861667,0.003073819,0.2923746],"category_scores_gemma":[0.008002245,0.00104731,0.001460944,0.008705205,0.0006986361,0.00223408,0.003237498,0.001925699,0.3443212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183105,"about_ca_system_score_gemma":0.002505263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03293527,"about_ca_topic_score_gemma":0.04474144,"domain_scores_codex":[0.9989944,0.0001805296,0.0001071621,0.0003178272,0.0001830996,0.000217044],"domain_scores_gemma":[0.997883,0.000674873,0.0001777848,0.0005420913,0.0004155049,0.0003066662],"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":[0.00004098113,0.000008102321,0.0002852633,0.0004439816,0.00001933441,0.000009066332,0.00001383822,0.0001335221,0.00002911837,0.0003455509,0.9976265,0.001044809],"study_design_scores_gemma":[0.0002896357,0.00001358951,0.001788056,0.0003256673,0.0000309287,0.00002688434,0.00005887096,0.0002914848,0.0001706515,0.00146594,0.9955101,0.00002823946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000293489,0.00003745904,0.00002577049,0.00005139068,0.0000175802,0.000004078993,0.9990364,0.0002833569,0.0005145573],"genre_scores_gemma":[0.0002746371,0.00006047112,0.0001000992,0.000053126,0.00001287345,0.00005484022,0.9983572,0.000156157,0.0009305995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7076254,"threshold_uncertainty_score":0.9780905,"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."}}