{"id":"W1998542925","doi":"10.1371/journal.pmed.0030203","title":"The State of Child Health and Human Rights in Nepal","year":2006,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"United Nations Development Programme","keywords":"Human rights; Environmental health; State (computer science); Medicine; Political science; Economic growth; Law; Computer science","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":[0.003333067,0.0001304291,0.0003048324,0.0005359851,0.004672672,0.006004338,0.0006261521,0.002946877,0.006551612],"category_scores_gemma":[0.0036164,0.0002611575,0.000146009,0.0006844192,0.01048682,0.004757462,0.004315659,0.005346602,0.0003313911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004889993,"about_ca_system_score_gemma":0.007499631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02512855,"about_ca_topic_score_gemma":0.0616492,"domain_scores_codex":[0.9982228,0.0006799378,0.00006595482,0.000110522,0.0002470311,0.0006738237],"domain_scores_gemma":[0.9967167,0.001569681,0.0004857886,0.0001480795,0.0002860477,0.0007937375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001531625,0.0001437598,0.05250503,0.001150704,0.00009581813,0.003748767,0.1146039,0.0002512241,0.002397977,0.5686704,0.08378274,0.1724966],"study_design_scores_gemma":[0.00002140409,0.0001583111,0.09297515,0.002190296,0.00003640337,0.002444841,0.07741723,0.0001712437,0.0008235085,0.06705624,0.756572,0.0001334072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1731917,0.08134207,0.0006040507,0.5879689,0.0008655553,0.00002520263,0.0002041191,0.00003412792,0.1557641],"genre_scores_gemma":[0.9010093,0.03542171,0.0009408538,0.04432406,0.0004472691,0.00005152384,0.00006288569,0.00001894524,0.01772348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02512855,"threshold_uncertainty_score":0.04996455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985971130670628,"score_gpt":0.3306866044010446,"score_spread":0.3108268930943383,"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."}}