{"id":"W35893510","doi":"10.2139/ssrn.1392811","title":"Towards a Nietzchean Genealogical 'Effective' History Approach","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Genealogy; History; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004818,0.000353713,0.0005327386,0.004268135,0.002630993,0.003679435,0.002332227,0.001595232,0.01262633],"category_scores_gemma":[0.008112287,0.0004140318,0.0003873649,0.002781643,0.009151103,0.01137575,0.00246389,0.002343263,0.001584615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468307,"about_ca_system_score_gemma":0.002027654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004316815,"about_ca_topic_score_gemma":0.005373797,"domain_scores_codex":[0.9989706,0.0005398745,0.00004565758,0.0001755925,0.0001962382,0.00007205093],"domain_scores_gemma":[0.9976382,0.001007579,0.000162209,0.0005968608,0.000481857,0.0001132667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001566527,0.000002984699,0.00008565633,0.000009246429,0.000002204119,0.00001376359,0.0002295362,0.0003760754,0.00001790613,0.9952166,0.0003825263,0.003661935],"study_design_scores_gemma":[0.000002016037,0.0000027927,0.00009952382,0.00001223961,0.000003490949,0.00002685741,0.000146524,0.001425833,0.00003465023,0.9817608,0.01648195,0.000003278639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02657666,0.001907677,0.5449423,0.01140693,0.0006377579,0.0001079405,0.0004173161,0.0002254595,0.413778],"genre_scores_gemma":[0.7396815,0.002417224,0.1905643,0.001996686,0.0006446182,0.0002822522,0.0004548901,0.000290729,0.06366769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01262633,"threshold_uncertainty_score":0.04223925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304432787764608,"score_gpt":0.1863452703161054,"score_spread":0.1733009424384593,"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."}}