{"id":"W2118913407","doi":"10.1080/10920277.2008.10597530","title":"Negative Effects of the Canadian GIS Clawback and Possible Mitigating Alternatives","year":2008,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Earnings; Liberian dollar; Social security; Pension; Government (linguistics); Business; Net income; Economics; Labour economics; Actuarial science; Public economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001564892,0.0000976815,0.0001878108,0.00007122187,0.001648438,0.00007014685,0.0002869413,0.00003052161,0.0000275187],"category_scores_gemma":[0.001067806,0.00007717313,0.0000788484,0.0004379716,0.001966799,0.0001876334,0.00002187132,0.0003255437,0.000002396499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683952,"about_ca_system_score_gemma":0.002241558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9486127,"about_ca_topic_score_gemma":0.9851885,"domain_scores_codex":[0.9986982,0.0002459363,0.0001829156,0.0001169326,0.0003661394,0.0003899109],"domain_scores_gemma":[0.9986138,0.000293009,0.0004022187,0.00009484235,0.00009590002,0.0005002683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006262283,0.00003949965,0.7552682,0.00001803313,0.0001877323,0.0002027756,0.1598465,0.00005023195,0.0001407103,0.003973927,0.0194954,0.0607143],"study_design_scores_gemma":[0.0003757078,0.00008845696,0.9835528,0.00004009884,0.00001596676,0.00005629467,0.0007179735,0.000008100709,0.0003754973,0.000452355,0.0141821,0.0001347206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908468,0.00004710092,0.00000721227,0.004059465,0.0003401672,0.0001316076,0.00004688354,0.000004451752,0.004516348],"genre_scores_gemma":[0.9967849,0.0002166259,0.0002131137,0.001562802,0.0007746784,0.000001817635,2.775448e-7,0.000007827282,0.0004379935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2282845,"threshold_uncertainty_score":0.9996513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112994130919209,"score_gpt":0.2612672851024925,"score_spread":0.2499678720105716,"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."}}