{"id":"W260228500","doi":"","title":"Outreach multi-beneficial.","year":2004,"lang":"en","type":"letter","venue":"PubMed","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Medicine; Referral; Population; Medical education; Family medicine; Nursing; Medical emergency","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":[],"consensus_categories":[],"category_scores_codex":[0.001643086,0.0008207361,0.0002835934,0.000861714,0.003335754,0.003214953,0.001393816,0.003564734,0.2135411],"category_scores_gemma":[0.005239383,0.0003767895,0.0006163268,0.0005483577,0.0008716987,0.003345078,0.008781221,0.005034389,0.06354836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612094,"about_ca_system_score_gemma":0.003270653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298285,"about_ca_topic_score_gemma":0.009614182,"domain_scores_codex":[0.9979302,0.0005992585,0.00007733941,0.0002906726,0.0006213073,0.0004812615],"domain_scores_gemma":[0.9952615,0.0003603221,0.0002161245,0.0002143056,0.0009230995,0.00302468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005782794,0.0001442455,0.001021537,0.0002451324,0.000007251682,0.0007510858,0.0007415502,0.00002893381,0.0004229857,0.006742138,0.7463281,0.2435092],"study_design_scores_gemma":[0.0000104787,0.00004941864,0.0009893603,0.0002199206,0.000003667587,0.001060932,0.0006867934,0.00003843787,0.0001071383,0.001380881,0.9954436,0.000009454001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.005617247,0.02643144,0.007599465,0.1816642,0.03810775,0.00055411,0.0006194268,0.001868453,0.737538],"genre_scores_gemma":[0.03625613,0.01193797,0.007002457,0.1119072,0.005948047,0.0004070109,0.0004866263,0.0005447885,0.8255098],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2135411,"threshold_uncertainty_score":0.7143661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171867262163373,"score_gpt":0.3876584884885898,"score_spread":0.2704717622722525,"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."}}