{"id":"W2398145044","doi":"","title":"Local, Networked or External? Inclusion of Regional Journals in WoS and its Effect","year":2015,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Web of science; Visibility; Selection (genetic algorithm); Political science; Regional science; Country of origin; Library science; Process (computing); Geography; Computer science; Social science; Sociology; MEDLINE; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008546274,0.0005865258,0.001298663,0.004418406,0.001461946,0.006950434,0.001412443,0.0008360086,0.007021497],"category_scores_gemma":[0.06664187,0.0002905722,0.00104115,0.008499103,0.003411971,0.004564421,0.008796521,0.001101197,0.001781236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281019,"about_ca_system_score_gemma":0.002013269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006618784,"about_ca_topic_score_gemma":0.005393268,"domain_scores_codex":[0.9823246,0.009015597,0.001274578,0.001983448,0.003429171,0.001972575],"domain_scores_gemma":[0.9034685,0.04530206,0.03010609,0.005268763,0.007770156,0.008084501],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001804544,0.0005093567,0.8921345,0.001116642,0.0008295784,0.001513223,0.01700012,0.0007079508,0.001626203,0.005229883,0.002082086,0.07544579],"study_design_scores_gemma":[0.00005140061,0.0006253294,0.9619215,0.0005744464,0.0006749681,0.0005506857,0.01808212,0.000352687,0.001276321,0.001374368,0.01447625,0.00003999802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749732,0.0030332,0.00060889,0.001780368,0.0001059384,0.00005491713,0.0003785127,0.00004897706,0.01901598],"genre_scores_gemma":[0.9961223,0.0008983577,0.0002591075,0.0001814585,0.0001600425,0.00002539778,0.0001795006,0.00003179228,0.002141992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9955816,"threshold_uncertainty_score":0.04519761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3468037079446216,"score_gpt":0.4807593991302107,"score_spread":0.1339556911855891,"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."}}