{"id":"W4409704837","doi":"10.1038/d41586-025-01190-0","title":"How we’re battling Trump’s science cuts across small-town America","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01345859,0.0005440507,0.0007914029,0.001704868,0.02081792,0.01661824,0.002109505,0.01134929,0.04175493],"category_scores_gemma":[0.03064798,0.0005087315,0.0008589014,0.002096768,0.02101399,0.01191786,0.009833327,0.02644477,0.004428983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01047165,"about_ca_system_score_gemma":0.03706209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07350741,"about_ca_topic_score_gemma":0.1486414,"domain_scores_codex":[0.9885411,0.00390027,0.0002631337,0.001218735,0.002564896,0.003511983],"domain_scores_gemma":[0.9665477,0.008576508,0.001159415,0.001760134,0.005899018,0.01605722],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001857696,0.0002355364,0.007703735,0.0002642721,0.0001551934,0.0006672322,0.02365272,0.000218558,0.001806485,0.2048109,0.6822076,0.07809192],"study_design_scores_gemma":[0.00004941552,0.00008914658,0.005929225,0.0003567002,0.00004347699,0.0001098408,0.02375309,0.00006264055,0.0003386862,0.05251602,0.9167062,0.00004563952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01064532,0.003577071,0.001008705,0.9371601,0.0061399,0.00002161353,0.00009194736,0.0001103743,0.04124499],"genre_scores_gemma":[0.2387807,0.003676759,0.002572312,0.6901515,0.003801192,0.0001247447,0.0001433663,0.0003917216,0.06035775],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9865414,"threshold_uncertainty_score":0.1461591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06775777969037028,"score_gpt":0.460454218366946,"score_spread":0.3926964386765757,"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."}}