{"id":"W831608742","doi":"10.35537/10915/3198","title":"De cada labrador un soldado y de cada agricultor un propietario","year":2010,"lang":"es","type":"dissertation","venue":"","topic":"Argentine historical studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","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":[],"category_scores_codex":[0.0006676713,0.0006279899,0.000727253,0.00009603609,0.002512677,0.0002118346,0.0008718951,0.001084754,0.002380802],"category_scores_gemma":[0.0007919203,0.0005029591,0.0003819324,0.0007016174,0.0002880842,0.0002074733,0.0001352427,0.001147238,0.000492423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131563,"about_ca_system_score_gemma":0.001071451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2107307,"about_ca_topic_score_gemma":0.1830679,"domain_scores_codex":[0.9959636,0.0002720116,0.0006472483,0.0008072756,0.001065877,0.001243949],"domain_scores_gemma":[0.9979485,0.0002528198,0.0005239043,0.0003123533,0.0004645268,0.0004979183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003176853,0.003253859,0.137764,0.001307791,0.002354707,0.0002507708,0.36562,0.00001779601,0.01702486,0.1159842,0.09762675,0.2584777],"study_design_scores_gemma":[0.0005465919,0.0001350252,0.1440047,0.00008469092,0.0005263511,0.000003550779,0.01806224,0.00002853559,0.002734896,0.001463804,0.8310964,0.00131322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8765782,0.001690986,0.0002044706,0.002449383,0.005056147,0.00122173,0.00004150039,0.0003648749,0.1123927],"genre_scores_gemma":[0.702246,0.001206039,0.00546323,0.0004799837,0.002298101,0.0002462739,0.0002045752,0.00009645274,0.2877593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7334696,"threshold_uncertainty_score":0.9997422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029411125748701,"score_gpt":0.265458927159369,"score_spread":0.255164815901882,"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."}}