{"id":"W2153420741","doi":"10.1377/hlthaff.2010.0762","title":"How The Stars Aligned To Make Grand Junction A Success","year":2010,"lang":"en","type":"article","venue":"Health Affairs","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Stars; Astronomy; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.01345836,0.0004869187,0.0007019771,0.001637855,0.02274644,0.02445341,0.001640408,0.009584914,0.03661512],"category_scores_gemma":[0.03318062,0.0005919864,0.0008128277,0.001464437,0.01121471,0.01370885,0.01354562,0.01871975,0.009644682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007192586,"about_ca_system_score_gemma":0.03029161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399125,"about_ca_topic_score_gemma":0.07645705,"domain_scores_codex":[0.9813284,0.007634149,0.0003298042,0.0009975393,0.003575884,0.006134331],"domain_scores_gemma":[0.9644865,0.002514913,0.0007588161,0.0007616956,0.00583602,0.02564201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001118152,0.0003527235,0.01466306,0.00007557904,0.00008595402,0.0005112303,0.02184626,0.000388377,0.0003464345,0.285187,0.621304,0.05512756],"study_design_scores_gemma":[0.00006570979,0.0001623074,0.008745323,0.0002114787,0.00004677589,0.0002018041,0.07069985,0.0003914261,0.0003711801,0.1502662,0.7687325,0.0001053979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05445512,0.001134471,0.00502314,0.6077432,0.009727295,0.00007707904,0.0001126479,0.000283993,0.321443],"genre_scores_gemma":[0.6945625,0.001215747,0.005651207,0.1399539,0.002597443,0.0001368668,0.0002154651,0.0009147651,0.1547521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03661512,"threshold_uncertainty_score":0.1224898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917245462170652,"score_gpt":0.3864470341217,"score_spread":0.3472745794999935,"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."}}