{"id":"W7020959681","doi":"","title":"Modelo para armar : Itinerarios y ámbitos disidentes del Partido Comunista en la formación de uno de los grupos fundadores de las Fuerzas Armadas Revolucionarias (1960-1967)","year":2012,"lang":"es","type":"article","venue":"Orientación y Sociedad","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Work (physics); Value (mathematics); Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064565,0.0006953004,0.0006015982,0.0008959835,0.0009364273,0.003918356,0.001713022,0.00138395,0.02322875],"category_scores_gemma":[0.003250694,0.0003799635,0.001209717,0.001517882,0.001325026,0.00318609,0.001666629,0.001686743,0.002698734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00315913,"about_ca_system_score_gemma":0.002963759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04205555,"about_ca_topic_score_gemma":0.03549516,"domain_scores_codex":[0.9994636,0.0002174085,0.00002086268,0.0001308133,0.00007704584,0.0000902816],"domain_scores_gemma":[0.9992499,0.0003851159,0.00009934819,0.00006884694,0.0001157451,0.00008094501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004740747,0.0002127156,0.02110505,0.0002922008,0.0001724862,0.0003550726,0.004387151,0.2245575,0.0008973186,0.6842655,0.0171979,0.04608294],"study_design_scores_gemma":[0.0001968445,0.0002450288,0.01281409,0.0002474832,0.0001854847,0.0001924767,0.004262531,0.5664496,0.0005855812,0.3258185,0.08890329,0.00009900539],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3169609,0.004161905,0.2999584,0.01497843,0.0007814735,0.0003999664,0.006584572,0.0009618744,0.3552124],"genre_scores_gemma":[0.8881556,0.001378154,0.02962188,0.0003493043,0.00009586633,0.0004544243,0.001843821,0.0001381141,0.07796279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04205555,"threshold_uncertainty_score":0.0836215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040712131394685,"score_gpt":0.3269165991019672,"score_spread":0.2965094777880204,"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."}}