{"id":"W7098415272","doi":"","title":"© notice, is given to the source. The Retirement Incentive Effects of Canada’s Income Security Programs","year":2001,"lang":"en","type":"article","venue":"","topic":"Bioactive Natural Diterpenoids Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Social security; Income Support; Low income","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002265119,0.0001232292,0.0001051915,0.00001633977,0.0001311923,0.00002418012,0.0004818567,0.00008305963,0.00003761519],"category_scores_gemma":[0.0001294914,0.00006381924,0.00006026096,0.0001868829,0.0001131653,0.000002309329,0.0003837705,0.0001825359,0.000006134335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006621373,"about_ca_system_score_gemma":0.0001988601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05876185,"about_ca_topic_score_gemma":0.2339315,"domain_scores_codex":[0.9987624,0.0001440452,0.0001358473,0.0002496915,0.0003909339,0.0003170928],"domain_scores_gemma":[0.9991921,0.00004219956,0.0000508258,0.0004244465,0.0001994069,0.00009104121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001619156,0.000792441,0.101045,0.0004104428,0.001267402,0.00004407769,0.00341947,0.00004394812,0.4773861,0.0005015762,0.2796528,0.1338176],"study_design_scores_gemma":[0.0004189688,0.0006191302,0.0477886,0.00003349191,0.00002071308,0.000002521229,0.0004159781,0.000106273,0.5572022,0.00005191492,0.3931467,0.0001935599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862418,0.0003604183,0.000195823,0.009006096,0.0001177338,0.001094462,0.0000118178,0.000005469603,0.002966362],"genre_scores_gemma":[0.9955894,0.00004725751,0.00004309524,0.00134446,0.0001051274,0.00004616275,0.00001345172,0.00001062055,0.002800472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751696,"threshold_uncertainty_score":0.947506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006249668818576836,"score_gpt":0.2513893860755925,"score_spread":0.2451397172570156,"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."}}