{"id":"W2396775442","doi":"","title":"Impact factors and the law of unintended consequences.","year":2005,"lang":"en","type":"editorial","venue":"PubMed","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Unintended consequences; Political science; Law; Law and economics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.007663355,0.0002202886,0.0005929422,0.0001597483,0.0001188524,0.000268888,0.0007948678,0.0002772787,0.0003994174],"category_scores_gemma":[0.006872055,0.00009452225,0.0002113454,0.0003099665,0.002252693,0.0002461118,0.0001219234,0.0004126688,0.00001739145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009130764,"about_ca_system_score_gemma":0.0004618448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006468251,"about_ca_topic_score_gemma":0.0005138172,"domain_scores_codex":[0.9952179,0.0004264424,0.0007683875,0.0003478143,0.002950556,0.000288897],"domain_scores_gemma":[0.992579,0.005263137,0.0007197774,0.0005647634,0.0007460281,0.0001273193],"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":[0.0001120077,0.00001826785,0.001334891,0.000005015667,0.00007196949,4.425206e-7,0.0003735323,0.00001453778,4.229081e-7,0.00411516,0.9721388,0.02181497],"study_design_scores_gemma":[0.001376949,0.00002668909,0.03660286,0.000008745824,0.0000543142,9.432013e-7,0.0003100836,0.00007056351,0.00003636286,0.008405026,0.9529456,0.0001618931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01017957,0.0008041618,0.00002563828,0.003552182,0.9406892,0.00156655,0.0004127086,0.00003474244,0.04273525],"genre_scores_gemma":[0.8062674,0.0002468691,0.0000164993,0.00008691682,0.1901087,0.000236605,0.00003814265,0.00001160494,0.002987242],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.7960879,"threshold_uncertainty_score":0.8300142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426232426129904,"score_gpt":0.4494681645632517,"score_spread":0.3068449219502613,"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."}}