{"id":"W2097269731","doi":"10.1023/b:scie.0000027677.79173.b8","title":"The classification of biomedical journals by research level","year":2004,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science North","funders":"","keywords":"Computer science; Citation; Science Citation Index; Information retrieval; Basic research; Data science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics","metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","bibliometrics"],"domain":"evaluation","study_design":"observational","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.2057137,0.000154572,0.0003276869,0.1777989,0.001536793,0.004603872,0.007405369,0.0002101508,0.000207557],"category_scores_gemma":[0.3083346,0.00008479669,0.0002015976,0.7157363,0.002311401,0.0006741668,0.001195092,0.000835082,0.0006112434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187356,"about_ca_system_score_gemma":0.001055703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001161045,"about_ca_topic_score_gemma":0.00001303946,"domain_scores_codex":[0.9392418,0.0007403781,0.001669267,0.0009770918,0.05584848,0.00152296],"domain_scores_gemma":[0.9560933,0.0199717,0.0006784089,0.001840533,0.02019403,0.001222094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003475098,0.0008469789,0.02419321,0.000007270738,0.00002577331,0.000007267863,0.0003623342,0.00003383488,0.05391213,0.01981578,0.2646721,0.6360886],"study_design_scores_gemma":[0.001374111,0.0006347309,0.4007756,0.00002622899,0.00000609612,0.00001834893,0.002229139,0.001320611,0.01171471,0.08020875,0.5013958,0.0002959356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835268,0.01285592,0.06419225,0.02068269,0.003084413,0.0008100205,0.0003111181,0.00004413114,0.01449268],"genre_scores_gemma":[0.9937416,0.001260756,0.001223136,0.00004754034,0.0001021749,0.00001281361,0.000005308968,0.00001266674,0.003593993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6357926,"threshold_uncertainty_score":0.9997631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9272708597111224,"score_gpt":0.7093757539334359,"score_spread":0.2178951057776866,"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."}}