{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003623567,0.0006142193,0.0004203315,0.001490548,0.006578831,0.00339824,0.003554525,0.002037902,0.009777207],"category_scores_gemma":[0.01550847,0.0002527201,0.0008062453,0.001684143,0.003804808,0.001112889,0.002752652,0.002182073,0.0002611861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03112302,"about_ca_system_score_gemma":0.04856437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9221991,"about_ca_topic_score_gemma":0.961758,"domain_scores_codex":[0.9939418,0.001084679,0.0001242508,0.0003138238,0.002634409,0.001900845],"domain_scores_gemma":[0.9930223,0.001361784,0.0009170742,0.000472577,0.003311663,0.0009146731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001410073,0.0008969954,0.1221649,0.0008799257,0.0003749657,0.002578415,0.007834285,0.03783091,0.006619806,0.4492182,0.07349254,0.296699],"study_design_scores_gemma":[0.0004600249,0.001367072,0.343735,0.001711681,0.0009829385,0.001000458,0.04098561,0.03191003,0.007203622,0.07748115,0.4925368,0.0006255754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5131409,0.004751378,0.00810164,0.06190008,0.0007989126,0.0005636751,0.001162638,0.0002478923,0.4093329],"genre_scores_gemma":[0.977609,0.0007117827,0.003183189,0.0026584,0.00006471547,0.0000582988,0.0001249164,0.00001588908,0.01557379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07780087,"threshold_uncertainty_score":0.2258143,"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."}}