{"id":"W3124165640","doi":"10.2139/ssrn.2834232","title":"Targeting Tax Relief at Youth Employment","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University Medical Centre; Dalhousie University; McMaster University; Carleton University","funders":"","keywords":"Business; Labour 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001914967,0.000213053,0.0003935882,0.0008762743,0.001048997,0.001964227,0.0007071468,0.001599673,0.008895159],"category_scores_gemma":[0.007047489,0.0001399404,0.0004344741,0.0008742823,0.0003919764,0.0007999087,0.001388995,0.00167051,0.00150044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801984,"about_ca_system_score_gemma":0.004946075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161076,"about_ca_topic_score_gemma":0.02469833,"domain_scores_codex":[0.9977736,0.000657023,0.00003722779,0.000116055,0.0003357164,0.001080443],"domain_scores_gemma":[0.9959342,0.000854402,0.001316883,0.0001589485,0.0006104141,0.001125133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001140461,0.002640202,0.5774289,0.0002629466,0.0002398871,0.0006529888,0.002459198,0.01196131,0.003184511,0.08437781,0.05041011,0.2652417],"study_design_scores_gemma":[0.000607872,0.004130629,0.7233252,0.000949982,0.0005404108,0.000974636,0.01581282,0.08786885,0.01133366,0.07423533,0.0801147,0.0001057933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365341,0.001100602,0.004783183,0.0124917,0.0001871822,0.0001604943,0.0006307227,0.0001046283,0.04400728],"genre_scores_gemma":[0.9926162,0.0001694236,0.0002960551,0.0004647196,0.00005376412,0.00002233877,0.0001048589,0.00000591958,0.006266695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0161076,"threshold_uncertainty_score":0.03202772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301988104275126,"score_gpt":0.2162958401555302,"score_spread":0.193275959112779,"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."}}