{"id":"W2571086138","doi":"10.1186/s12916-016-0773-5","title":"The Journal Impact Factor is under attack – use the CAPCI factor instead","year":2017,"lang":"en","type":"editorial","venue":"BMC Medicine","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital","funders":"","keywords":"Impact factor; Citation; Medicine; Publishing; Library science; Law; Computer science; Political 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.04034436,0.0006387336,0.001125853,0.02139243,0.003244475,0.01151766,0.01403935,0.0009268748,0.002966621],"category_scores_gemma":[0.3799283,0.0002104289,0.0006158485,0.03515409,0.001606324,0.0009836373,0.001483206,0.003626332,0.0007741401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945466,"about_ca_system_score_gemma":0.004043221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123355,"about_ca_topic_score_gemma":0.0006578789,"domain_scores_codex":[0.9582673,0.001315914,0.001725969,0.0009896497,0.03627118,0.001429931],"domain_scores_gemma":[0.878471,0.1049428,0.002188593,0.003997812,0.009212989,0.001186796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008368517,0.00002585553,0.004789607,0.000006283717,0.0000912927,0.00001257349,0.0003219197,0.00000513324,0.0000125688,0.000004627625,0.9752498,0.0193967],"study_design_scores_gemma":[0.001002226,0.000455376,0.04567335,0.00008154991,0.00004107508,0.00002021561,0.0004579985,0.0002179981,0.000006864072,0.0004798373,0.9512926,0.0002709021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01679844,0.008780011,0.001407855,0.004209208,0.9654974,0.0006810677,0.0008940028,0.0000253081,0.001706757],"genre_scores_gemma":[0.03267464,0.0153838,0.00004506875,0.0002838132,0.8797336,0.00001087212,0.00003491306,0.00008427502,0.07174907],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3395839,"threshold_uncertainty_score":0.9986724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8179097266428235,"score_gpt":0.6585456402439596,"score_spread":0.1593640863988639,"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."}}