{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006780864,0.0005787117,0.0003221538,0.001317522,0.005733707,0.004161631,0.001127331,0.001850372,0.376613],"category_scores_gemma":[0.001786101,0.0003140488,0.0004724014,0.001923431,0.001064706,0.001426547,0.002361375,0.002197928,0.07574394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008041414,"about_ca_system_score_gemma":0.02276117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8806385,"about_ca_topic_score_gemma":0.9718008,"domain_scores_codex":[0.9994968,0.00002494568,0.00001275097,0.00004598559,0.0002196576,0.0001997256],"domain_scores_gemma":[0.9986554,0.00005333516,0.00003988562,0.00006533327,0.000836226,0.0003498278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004094879,0.00002374579,0.001806103,0.00008555249,0.000003962545,0.00009966641,0.0004720377,0.00005362205,0.00009386323,0.007942769,0.9491689,0.04020881],"study_design_scores_gemma":[0.000005842906,0.000002075058,0.003116135,0.00006944035,0.000002850328,0.00002514073,0.0006842398,0.00002100595,0.00004874044,0.0002731621,0.9957456,0.000005725022],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002328547,0.001457842,0.0002772115,0.004527429,0.0009028377,0.00006763822,0.01246938,0.000558051,0.9774111],"genre_scores_gemma":[0.0073883,0.0007844455,0.0003369429,0.0006184496,0.0000693648,0.00003157957,0.003295986,0.000266125,0.9872088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.376613,"threshold_uncertainty_score":0.8891859,"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."}}