{"id":"W7098407953","doi":"","title":"The Differential Impact of Veterans Affairs Canada Policies on the Economic Well-being of","year":2001,"lang":"en","type":"article","venue":"","topic":"Natural Compound Pharmacology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Differential (mechanical device); Economic impact analysis; Public policy","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":[0.00006729495,0.00007991119,0.0001137525,0.000003233113,0.0002300465,0.00001064173,0.0002534045,0.00001948848,0.0004346446],"category_scores_gemma":[0.000009762312,0.00001595147,0.00009276639,0.00005931796,0.0001151492,0.00001732387,0.00004898939,0.0000729993,0.000002308979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006506711,"about_ca_system_score_gemma":0.00002053143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5108302,"about_ca_topic_score_gemma":0.7385432,"domain_scores_codex":[0.999495,0.00006050205,0.0001353454,0.00007440938,0.00007468275,0.0001600964],"domain_scores_gemma":[0.9989432,0.0009117391,0.00006784706,0.00003603748,0.00001962166,0.00002153723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007593319,0.0001174705,0.1649992,0.000007394578,0.0009622551,0.000005104244,0.0008098545,0.0004473068,0.70206,0.01576385,0.09260386,0.02146428],"study_design_scores_gemma":[0.0001645928,0.0004629034,0.9671622,0.000007702603,0.00002495565,0.000004286996,0.001809211,0.0001587617,0.02087124,0.0006812242,0.00850816,0.0001447967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980104,0.00005211947,3.504711e-8,0.004820658,0.0001401874,0.00008441945,0.000009146828,0.000005848245,0.01478362],"genre_scores_gemma":[0.9993405,0.0001057762,3.823328e-7,0.00009686799,0.00009026675,0.000002361133,0.000001501111,3.051076e-7,0.0003620208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8021629,"threshold_uncertainty_score":0.4924273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335926105834449,"score_gpt":0.2464334225584965,"score_spread":0.2330741615001519,"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."}}