{"id":"W2515744565","doi":"10.3122/jabfm.2016.05.160076","title":"Federal Research Funding for Family Medicine: Highly Concentrated, with Decreasing New Investigator Awards","year":2016,"lang":"en","type":"article","venue":"The Journal of the American Board of Family Medicine","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine; Specialty; Agency (philosophy); Family medicine; Quarter (Canadian coin); Grant funding; Funding Agency; Disease control; Primary care; Health care; Public administration; Economic growth; Environmental health; Public relations; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02483609,0.000756846,0.001208529,0.006939009,0.004201121,0.01000127,0.003311554,0.003493943,0.02427183],"category_scores_gemma":[0.07808682,0.0007837364,0.0009548141,0.01026696,0.003103946,0.00462285,0.00903232,0.005403219,0.006480697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01402085,"about_ca_system_score_gemma":0.03067918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02824952,"about_ca_topic_score_gemma":0.04789256,"domain_scores_codex":[0.9614816,0.01190497,0.002726867,0.004211693,0.01265673,0.007018099],"domain_scores_gemma":[0.8946157,0.01705388,0.01491963,0.006120603,0.03051163,0.03677854],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001101581,0.000395925,0.1446271,0.001365467,0.0004801482,0.000474763,0.00153407,0.0006829276,0.001803057,0.02973807,0.4283157,0.3894811],"study_design_scores_gemma":[0.0006708444,0.0006902919,0.5053635,0.002806796,0.0002809238,0.001563705,0.002425861,0.001113248,0.001310408,0.01309613,0.47052,0.0001582787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1961935,0.04844509,0.0147708,0.5849614,0.01128296,0.0009246486,0.01361123,0.001867259,0.127943],"genre_scores_gemma":[0.7901668,0.02449401,0.01778774,0.08439978,0.01176795,0.0009438738,0.01317684,0.0009012457,0.05636176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9751639,"threshold_uncertainty_score":0.1313473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2574241327450071,"score_gpt":0.4972446904943322,"score_spread":0.2398205577493251,"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."}}