{"id":"W4415661880","doi":"10.2196/79038","title":"GrantCheck—an AI Solution for Guiding Grant Language to New Policy Requirements: Development Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Compliance (psychology); Pipeline (software); Public policy; Public health; Health policy; Safeguard; Policy development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01098195,0.0009549423,0.0003023524,0.001524885,0.0007068962,0.002986097,0.002147136,0.001116861,0.01281859],"category_scores_gemma":[0.03327826,0.0006477192,0.0006128603,0.0008187239,0.001002992,0.004244547,0.002014429,0.001387393,0.003118419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489991,"about_ca_system_score_gemma":0.004450004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00569067,"about_ca_topic_score_gemma":0.004455576,"domain_scores_codex":[0.9959657,0.001878207,0.0003365637,0.00043405,0.001150839,0.0002346156],"domain_scores_gemma":[0.9774637,0.01406103,0.0009696021,0.002228989,0.004275963,0.001000773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001623573,0.002635576,0.02753166,0.001699091,0.0001509908,0.001121515,0.008087687,0.01684536,0.03517496,0.02203891,0.06276836,0.8203222],"study_design_scores_gemma":[0.001395136,0.005311124,0.02314656,0.001178869,0.0005749858,0.002532504,0.007994127,0.4032791,0.1078668,0.01566084,0.4305692,0.0004908607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3862046,0.0008194572,0.4732537,0.003684608,0.0005141771,0.006072882,0.004283007,0.08397651,0.04119105],"genre_scores_gemma":[0.3563999,0.0005425756,0.6169126,0.0004835365,0.00004959036,0.001546378,0.004803956,0.002514614,0.01674677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281859,"threshold_uncertainty_score":0.05807889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4734678160050629,"score_gpt":0.624038999233654,"score_spread":0.1505711832285911,"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."}}