{"id":"W570948949","doi":"","title":"History by generations : Generational dynamics in modern history","year":2013,"lang":"en","type":"book","venue":"Max Planck Institute for Plasma Physics","topic":"Polish Historical and Cultural Studies","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Art history; State (computer science); Art; History","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"],"consensus_categories":[],"category_scores_codex":[0.000112641,0.0003864452,0.0005067394,0.00006318298,0.0005374258,0.00003755352,0.0003974664,0.0004591971,0.0001163705],"category_scores_gemma":[0.00005588655,0.0004035626,0.0002031589,0.00005442047,0.0005587917,0.000502814,0.00005655816,0.0004165434,0.0001030038],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02698696,"about_ca_system_score_gemma":0.002066632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536257,"about_ca_topic_score_gemma":0.03502472,"domain_scores_codex":[0.9980606,0.00003925956,0.0004041198,0.0004896901,0.0005166152,0.0004897445],"domain_scores_gemma":[0.999113,0.00008038401,0.0002559537,0.0001918416,0.0001996151,0.0001592044],"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":[0.000006294425,0.00005475128,0.000005498813,0.00002623051,0.00003345665,0.000001650048,0.001263079,0.0001565456,0.00001284586,0.3122912,0.6836783,0.002470137],"study_design_scores_gemma":[0.0002808266,0.0000240704,0.0000025395,0.0000294225,0.00004214028,4.414158e-7,0.00004862379,0.004895476,0.000001344423,0.01634552,0.9778278,0.0005017355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000282371,0.004698407,0.001317225,0.0005484122,0.008237923,0.0009636377,0.002039162,0.0001485789,0.9817643],"genre_scores_gemma":[0.000308009,0.0004266638,0.0007621584,0.0004462446,0.003406301,0.0004187777,0.007115596,0.00004290077,0.9870734],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2959457,"threshold_uncertainty_score":0.9998416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04652838668987415,"score_gpt":0.2356158445820208,"score_spread":0.1890874578921467,"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."}}