{"id":"W6887507330","doi":"10.17026/dans-22c-r8xq","title":"Veteranen Instituut, IPNV, interview 614","year":2008,"lang":"nl","type":"dataset","venue":"DANS Data Station SSH","topic":"World Wars: History, Literature, and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indian ocean","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001565839,0.0007731009,0.0009257852,0.0004541477,0.001415408,0.0007263641,0.004163494,0.0005671442,0.003166129],"category_scores_gemma":[0.00071755,0.0007925725,0.0002144813,0.001103,0.0009693167,0.002981129,0.0005681024,0.001086297,0.005641795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007665215,"about_ca_system_score_gemma":0.00129039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009552028,"about_ca_topic_score_gemma":0.01130992,"domain_scores_codex":[0.9935521,0.001398917,0.001207675,0.001517272,0.001407289,0.0009167612],"domain_scores_gemma":[0.9947461,0.000318305,0.0008872781,0.003252864,0.0002675567,0.0005278638],"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":[0.00003698126,0.0002191593,0.00004242584,0.000239008,0.0001272151,0.0001014859,0.02083707,0.000002253801,0.00000837392,0.0001778631,0.9717742,0.006433956],"study_design_scores_gemma":[0.0006059691,0.0001717183,0.0005630342,0.000540965,0.0002193628,0.00002377899,0.002333905,0.00004176362,0.000001796711,0.00005081765,0.9945976,0.0008493025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003820068,0.003430234,0.0004943315,0.0005261681,0.005001018,0.0007657508,0.9829935,0.00009820161,0.006308738],"genre_scores_gemma":[0.0008658313,0.01317371,0.0004231421,0.001770106,0.001739442,0.00003063192,0.9747579,0.00005600237,0.00718321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02282338,"threshold_uncertainty_score":0.9998846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148008499816712,"score_gpt":0.3580658310254142,"score_spread":0.243264981043743,"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."}}