{"id":"W2159426374","doi":"10.1108/el-12-2013-0221","title":"A bibliometric analysis of the <i>Journal of Membrane Science</i> (1976-2010)","year":2015,"lang":"en","type":"article","venue":"The Electronic Library","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Impact factor; Citation; Library science; Subject (documents); Bibliometrics; Science Citation Index; Political science; Regional science; Social science; Geography; Sociology; Computer science; Law","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":[0.003769116,0.0004848251,0.0009582707,0.0899918,0.001002086,0.003934925,0.0005852939,0.0004916227,0.005056516],"category_scores_gemma":[0.02372232,0.0001831216,0.001149973,0.1278196,0.0005208592,0.002890127,0.001364838,0.0003827694,0.002184241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003494884,"about_ca_system_score_gemma":0.004983752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008448875,"about_ca_topic_score_gemma":0.007966022,"domain_scores_codex":[0.9940656,0.0005473034,0.001105743,0.000523121,0.003389251,0.0003688864],"domain_scores_gemma":[0.974114,0.006769688,0.008779303,0.0008698915,0.008272327,0.001194865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003377871,0.0001536327,0.7262828,0.00486861,0.0007022014,0.0006995665,0.001809278,0.001572525,0.002098041,0.003988888,0.02770836,0.2297784],"study_design_scores_gemma":[0.000009792208,0.0001154508,0.9443918,0.0004309546,0.0002471621,0.0006823376,0.001646032,0.001139035,0.001350172,0.0005323815,0.04941488,0.00003996999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8065598,0.02739246,0.002848975,0.002306669,0.0005513207,0.000490715,0.09022926,0.0005579743,0.06906286],"genre_scores_gemma":[0.9300039,0.01500611,0.004042671,0.0001891127,0.0008470934,0.0003260938,0.04175903,0.0001014866,0.007724478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9100082,"threshold_uncertainty_score":0.02535731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759729246652608,"score_gpt":0.238788078992122,"score_spread":0.2211907865255959,"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."}}