{"id":"W7165505335","doi":"","title":"Fronteras que se erigen (Canadian Bacon y South Park: Bigger, Longer and Uncut)","year":2016,"lang":"es","type":"other","venue":"MiCISAN","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Identity (music); Perspective (graphical); Field (mathematics)","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004945758,0.001599838,0.001451993,0.00169495,0.0002912098,0.0004490513,0.0008680423,0.00138166,0.07212374],"category_scores_gemma":[0.00008121515,0.001366153,0.0003307157,0.0002837978,0.0007477694,0.0002021335,0.0002064944,0.0006628837,0.158761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00098459,"about_ca_system_score_gemma":0.000964001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.181042,"about_ca_topic_score_gemma":0.6150239,"domain_scores_codex":[0.9942937,0.0004761621,0.0007825528,0.001834903,0.0005349804,0.002077639],"domain_scores_gemma":[0.9957213,0.0001020904,0.0006279597,0.001666581,0.0001285345,0.001753498],"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":[0.0002268635,0.0001147184,0.04761774,0.0002873967,0.001335218,0.0004990676,0.0057709,8.128329e-7,0.007930223,0.0002851964,0.9253512,0.01058067],"study_design_scores_gemma":[0.001730162,0.00009810218,0.007869934,0.001495896,0.0003614967,0.00005020095,0.0003622778,0.00001306173,0.0005097173,0.00007729822,0.9855254,0.001906447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.143009,0.01322795,0.00004986162,0.0005688329,0.002899863,0.002574068,0.01993587,0.0004996645,0.8172348],"genre_scores_gemma":[0.1850931,0.0005380035,0.0003650044,0.0009797955,0.002674455,0.00008073544,0.0005153774,0.003642469,0.806111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4339818,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528624368609098,"score_gpt":0.2485671952749229,"score_spread":0.2332809515888319,"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."}}