{"id":"W4394931919","doi":"10.3390/systems12040137","title":"Systems Thinking for Supply Chains: Identifying Bottlenecks Using Process Mapping of a Child Health Intervention in the Democratic Republic of the Congo (DRC)","year":2024,"lang":"en","type":"article","venue":"Systems","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; World Health Organization","keywords":"Democracy; Intervention (counseling); Process (computing); Supply chain; Political science; Medicine; Computer science; Nursing; Law; Politics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02219068,0.0002277234,0.0008566289,0.0008150679,0.0004382455,0.001243321,0.001550707,0.0001021892,0.000007099464],"category_scores_gemma":[0.001956407,0.0001228168,0.0004451631,0.002508657,0.00008334608,0.0004847285,0.0001998777,0.0002557823,0.000002794009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584761,"about_ca_system_score_gemma":0.0002404956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069383,"about_ca_topic_score_gemma":0.0002170397,"domain_scores_codex":[0.9920579,0.001414716,0.003227469,0.0006387259,0.002254765,0.0004064096],"domain_scores_gemma":[0.9946304,0.002076923,0.001709274,0.001016756,0.0005135411,0.00005308248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002127847,0.0007364342,0.03831564,0.05084195,0.0008222783,0.00005518883,0.2296041,0.08956811,0.003769341,0.5257778,0.02297088,0.03732549],"study_design_scores_gemma":[0.0008228695,0.0001537349,0.005286715,0.03465356,0.00003313483,0.0004107242,0.09759904,0.8331591,0.00003713356,0.02343583,0.004091945,0.0003161725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.550141,0.08082535,0.3478764,0.001387821,0.01116308,0.007325767,0.0001207003,0.0001102849,0.001049634],"genre_scores_gemma":[0.9991249,0.000005857368,0.00009845927,0.0000539851,0.0001866972,0.0001382942,0.000002002509,0.00002668065,0.0003631669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.743591,"threshold_uncertainty_score":0.9997935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2040235845124046,"score_gpt":0.4363691314917859,"score_spread":0.2323455469793813,"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."}}