{"id":"W3212517340","doi":"10.19053/01211048.11474","title":"Bibliometric analysis of innovation in Mexico","year":2021,"lang":"en","type":"article","venue":"Inquietud Empresarial","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance Manchester Business School, University of Manchester; Instituto Tecnológico de Sonora; I.M. Sechenov First Moscow State Medical University; Universidad de Sonora; Universidad Autónoma de Baja California; Benemérita Universidad Autónoma de Puebla; Universidad de Guanajuato; Universitat de Barcelona; Universidad de Guadalajara; Universidad de Cantabria; University of Ottawa; Universidad de Concepción; Universidad Politécnica de Cartagena; Universidad Nacional Autónoma de México; St Mary's University; Instituto Tecnológico y de Estudios Superiores de Monterrey; Universidad Panamericana; Brock University; Instituto Politécnico Nacional; Loughborough University; Universidad de las Américas Puebla; Karlstads universitet; Universidad Autónoma de Chihuahua; State University of New York; Universidad Autónoma de Tamaulipas; Universidad Iberoamericana Ciudad de México; Universidad Autónoma Metropolitana; Universidad de Colima","keywords":"Bibliometrics; Web of science; Limiting; Period (music); Political science; Library science; Key (lock); Regional science; Data science; Sociology; Computer science; MEDLINE; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0008969449,0.0001284477,0.0006204201,0.09081266,0.00004192768,0.00006802702,0.0001931999,0.0001583494,0.001530956],"category_scores_gemma":[0.0007833327,0.0001691524,0.0001101384,0.3543454,0.00006154457,0.0004160505,0.00007963599,0.000126062,0.00007530443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007842024,"about_ca_system_score_gemma":0.00007531207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004783032,"about_ca_topic_score_gemma":0.0002108008,"domain_scores_codex":[0.9976475,0.00001365108,0.00164261,0.0004038857,0.00006095434,0.0002314089],"domain_scores_gemma":[0.9985348,0.00008516121,0.0006142077,0.0004056356,0.0003375199,0.00002269476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002804947,0.0001631778,0.9382663,0.0000179138,0.0003380319,0.000003334697,0.0002228075,0.001483841,0.00009757519,0.05656043,0.0008541003,0.001964418],"study_design_scores_gemma":[0.0009374149,0.00001618729,0.9754586,0.000007480286,0.00003871149,7.789475e-7,0.00004131502,0.002652012,0.0005690941,0.009875077,0.01020461,0.0001987276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979555,0.0005372802,0.008847412,0.0001286315,0.001218024,0.00008982993,0.0001164827,0.0000193754,0.009488023],"genre_scores_gemma":[0.9980313,0.00007547927,0.001009805,0.0002444333,0.0002050404,0.00001582201,0.0002307,0.00001438904,0.0001729985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2635327,"threshold_uncertainty_score":0.9993818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06402623168298333,"score_gpt":0.2697199752410132,"score_spread":0.2056937435580299,"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."}}