{"id":"W4226181084","doi":"10.31219/osf.io/nbqus","title":"Big data y acceso a la información en México","year":2022,"lang":"es","type":"preprint","venue":"","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005077023,0.0004725438,0.000468383,0.004652764,0.001831384,0.004681421,0.0008770453,0.001661447,0.01929856],"category_scores_gemma":[0.01290699,0.0006307512,0.0005983291,0.01184965,0.001111446,0.006913538,0.003050702,0.002357239,0.003573931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005116981,"about_ca_system_score_gemma":0.006176047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.144244,"about_ca_topic_score_gemma":0.07816002,"domain_scores_codex":[0.9979501,0.0004672641,0.0001702463,0.000311889,0.0007913213,0.0003091382],"domain_scores_gemma":[0.9918259,0.002747005,0.00158547,0.0006960051,0.002499718,0.0006458666],"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":[0.0002104536,0.00001844561,0.01084976,0.0008680272,0.0000545213,0.000134458,0.001175248,0.000311977,0.0001663462,0.02614356,0.8380741,0.1219932],"study_design_scores_gemma":[0.00005916645,0.00002564964,0.05099336,0.00155707,0.00007400985,0.00007460917,0.00140454,0.0005128559,0.0004686537,0.0069767,0.9377994,0.00005400881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0375124,0.1125536,0.006627673,0.4236195,0.009458585,0.0001854381,0.2809174,0.001933652,0.1271917],"genre_scores_gemma":[0.3175338,0.2169532,0.02129166,0.02336965,0.01097399,0.001174131,0.2869273,0.001396057,0.1203802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.144244,"threshold_uncertainty_score":0.2868089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1473340250009693,"score_gpt":0.4165458881163357,"score_spread":0.2692118631153664,"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."}}