{"id":"W6959912233","doi":"10.11575/sppp.v4i0.42366.g30262","title":"Income Support for Persons With Disabilities","year":2017,"lang":"en","type":"article","venue":"University of Calgary","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crunch; Government (linguistics); Payment; Income Support; Inflation (cosmology); Value (mathematics); Index (typography)","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":[0.00004514087,0.00005590016,0.000111037,0.000002533106,0.0004444033,0.00001853694,0.000254501,0.00003827814,0.0001198268],"category_scores_gemma":[0.00001216351,0.00001845894,0.00006902745,0.00001869408,0.0001393267,0.0001387307,0.00004537386,0.00002868115,0.000005387968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001011542,"about_ca_system_score_gemma":0.000004504984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201411,"about_ca_topic_score_gemma":0.002193683,"domain_scores_codex":[0.9996617,0.000009505077,0.0000392007,0.000108124,0.00007714913,0.0001042562],"domain_scores_gemma":[0.9997274,0.00006309801,0.00007088327,0.00005029655,0.00004097668,0.00004732892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005969451,0.0001969299,0.846171,0.0001146335,0.0001378609,0.00002493606,0.001843051,0.000001378971,0.08272546,0.005320884,0.008970451,0.05389652],"study_design_scores_gemma":[0.0002690886,0.0003931493,0.9082217,0.00002760645,0.00002180203,0.000005101057,0.003500249,0.00001095181,0.0003531547,0.00006485229,0.0870117,0.0001206715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862723,0.00001025817,0.00001738735,0.0005855202,0.00003307537,0.0001626558,0.00004537479,0.0000177374,0.01285573],"genre_scores_gemma":[0.9911775,0.000003044732,0.0001342366,0.00001007863,0.00005598512,3.456773e-7,0.00002404501,2.009322e-7,0.008594534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0823723,"threshold_uncertainty_score":0.3418036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830089447491158,"score_gpt":0.1931923254105415,"score_spread":0.1748914309356299,"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."}}