{"id":"W6959602246","doi":"10.11575/sppp.v11i0.43451.g31018","title":"Social Policy Trends: Alberta Government Program Spending","year":2018,"lang":"en","type":"article","venue":"University of Calgary","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Government spending; Inflation (cosmology); Social policy; Social security; Social care","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004098639,0.0000643844,0.00008365011,0.000005097901,0.0002408566,0.00001256073,0.0001651174,0.00005919049,0.0009354373],"category_scores_gemma":[0.000008445261,0.00002764101,0.00006540312,0.0001907888,0.0000855962,0.00008260987,0.00008158315,0.00005107895,0.00003798881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002986942,"about_ca_system_score_gemma":0.000003693574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004351936,"about_ca_topic_score_gemma":0.004441307,"domain_scores_codex":[0.9994853,0.00002876527,0.00005619606,0.0001184662,0.000170054,0.0001412384],"domain_scores_gemma":[0.9997754,0.00004789022,0.00008115984,0.00001980572,0.00002357434,0.00005215646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001130508,0.0001319497,0.004179261,0.000004132708,0.00002868377,0.000007135281,0.0004530694,1.638009e-7,0.02318016,0.002237696,0.007468707,0.962196],"study_design_scores_gemma":[0.000116287,0.0003933657,0.2612297,0.000005835378,0.0000233535,0.00000528243,0.0007530882,0.00007522047,0.0006506098,0.00004234656,0.7365839,0.0001210086],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824669,0.00001056577,0.000002295702,0.001821024,0.00003325029,0.00006599705,0.00001651528,0.00002281352,0.1155607],"genre_scores_gemma":[0.9880739,0.00002973894,0.0002949066,0.00004989606,0.0004736528,6.413928e-8,0.00003829505,2.931391e-7,0.01103926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.962075,"threshold_uncertainty_score":0.9999778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955454492784449,"score_gpt":0.2276481199240615,"score_spread":0.2080935749962171,"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."}}