{"id":"W2788906194","doi":"10.1186/s12992-018-0327-z","title":"Saving Lives at Birth; development of a retrospective theory of change, impact framework and prioritised metrics","year":2018,"lang":"en","type":"article","venue":"Globalization and Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada; London School of Hygiene and Tropical Medicine; Department for International Development; Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Theory of change; General partnership; Health services research; Scale (ratio); Health policy; Health care; Social policy; Process management; Economic growth; Public relations; Management science; Political science; Business; Economics; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003806706,0.00008836923,0.0002997636,0.00009877189,0.0001239788,0.000005051511,0.00002576047,0.00005541628,0.00005898481],"category_scores_gemma":[0.00008285257,0.00006973508,0.00002054802,0.000325468,0.00008899441,0.00003542612,0.00004713059,0.00005014908,0.000001538028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078094,"about_ca_system_score_gemma":0.000176782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000228999,"about_ca_topic_score_gemma":0.00009385127,"domain_scores_codex":[0.9991456,0.0000440867,0.000299382,0.0001507651,0.0001860986,0.0001740669],"domain_scores_gemma":[0.9993281,0.00001902849,0.0002081882,0.00008741282,0.0001726297,0.0001846666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002192616,0.00007749718,0.9581252,0.0007776798,0.00003748385,9.666918e-7,0.00680814,6.303536e-8,0.00004828937,0.02068984,0.000184319,0.01303122],"study_design_scores_gemma":[0.0005325033,0.0006371016,0.9947704,0.0005688071,0.00001125544,0.00002137227,0.000283434,0.00002245584,0.000128634,0.002414743,0.0005563537,0.0000529583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928179,0.00376022,0.001830744,0.0004263133,0.00007739694,0.0003732893,0.00003539092,0.00002032038,0.0006584253],"genre_scores_gemma":[0.9931564,0.002085979,0.003448232,0.001181958,0.00008013378,0.000002078221,0.000009402842,0.000006322449,0.00002944452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03664514,"threshold_uncertainty_score":0.2843714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190437968403008,"score_gpt":0.3618009772820471,"score_spread":0.3098965975980171,"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."}}