{"id":"W6986851135","doi":"","title":"RESEÑA de : Prevost, Jean-Guy. A total science : statistics in liberal and fascist Italy. McGill-Queen’s University Press, 2009","year":2010,"lang":"es","type":"article","venue":"Espacio Tiempo y Forma Serie I Prehistoria y Arqueología","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Exposition (narrative); Field (mathematics); Work (physics); Government (linguistics); Key (lock)","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"],"consensus_categories":["sts"],"category_scores_codex":[0.001081302,0.0005920372,0.0006056213,0.0006117048,0.002823328,0.000490194,0.001112711,0.0003559455,0.0004521307],"category_scores_gemma":[0.0003906966,0.0006494614,0.0001225082,0.0002620078,0.007615425,0.003401958,0.0006398104,0.001400363,0.00004430621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009947182,"about_ca_system_score_gemma":0.0006903042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002340844,"about_ca_topic_score_gemma":0.00103193,"domain_scores_codex":[0.9961408,0.0001697014,0.0006018303,0.001069309,0.000741357,0.001277054],"domain_scores_gemma":[0.9975702,0.0002502056,0.0004234768,0.0007754723,0.0003434816,0.0006372105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005581388,0.0003211633,0.001167435,0.0002465803,0.00003204391,0.0002243259,0.01731727,0.00003883724,0.001592813,0.9635167,0.01408383,0.0009008662],"study_design_scores_gemma":[0.00112671,0.0007574509,0.005122821,0.0001202163,0.0000759012,0.00006170548,0.0007606288,0.0008210266,0.0002047188,0.01002036,0.9799959,0.0009325442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6076558,0.000560721,0.00007228006,0.003580495,0.008557878,0.001530361,0.004023033,0.0003735282,0.3736459],"genre_scores_gemma":[0.9406325,0.0003936575,0.001717776,0.0001255025,0.0007429664,0.00001524119,0.00002960748,0.00004364817,0.05629909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9659121,"threshold_uncertainty_score":0.9995956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009684684624656888,"score_gpt":0.2109803000894664,"score_spread":0.2012956154648096,"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."}}