{"id":"W6999497510","doi":"","title":"Contribution of Annals of Library and Information Studies in SCOPUS database (2011-2021): An analysis Bibliomatrice study","year":2022,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annals; Scopus; Bibliometrics; Information center; Medical journal; Rank (graph theory)","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00544788,0.0004336053,0.0008226223,0.07569183,0.00149392,0.007149149,0.0005670903,0.0005228046,0.005791457],"category_scores_gemma":[0.03422511,0.0002201611,0.0009620737,0.1218272,0.000428812,0.002380506,0.002644438,0.000442678,0.002289864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002470185,"about_ca_system_score_gemma":0.004288577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008251891,"about_ca_topic_score_gemma":0.01393092,"domain_scores_codex":[0.9891403,0.001445148,0.00199375,0.0005446503,0.006088643,0.0007875951],"domain_scores_gemma":[0.9702721,0.009378458,0.006299585,0.000890925,0.01159116,0.001567712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002440471,0.0001467729,0.8032623,0.003707662,0.0007107912,0.00127629,0.00282855,0.0004347826,0.001076989,0.003360818,0.02530485,0.1576461],"study_design_scores_gemma":[0.00001204932,0.00007567621,0.9320558,0.0008472239,0.0005358814,0.001388648,0.00474106,0.0006944297,0.0007855184,0.0004734274,0.05835455,0.00003580785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586019,0.02620352,0.0008628386,0.003135868,0.0002970674,0.0002580626,0.05044509,0.0002357916,0.0599599],"genre_scores_gemma":[0.9627258,0.01118481,0.001098963,0.0001709571,0.0003251486,0.0001437839,0.01768566,0.00007738078,0.006587561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9243082,"threshold_uncertainty_score":0.02881151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4289687973475806,"score_gpt":0.5090526222409143,"score_spread":0.08008382489333365,"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."}}