{"id":"W2063566484","doi":"10.3395/reciis.v2.sup1.206en","title":"Special populations: vulnerability and protection","year":2008,"lang":"en","type":"article","venue":"Reciis","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Voluntariness; Vulnerability (computing); Exposition (narrative); Developing country; Political science; Engineering ethics; Public relations; Economic growth; Law; Economics; Computer security; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005158992,0.00003679889,0.00007899071,0.00001788367,0.00009566981,0.000002285788,0.000009168631,0.00003079336,0.0001274853],"category_scores_gemma":[0.00003820371,0.0000286727,0.0000165881,0.00004987135,0.00002428024,0.00002686837,0.000007176345,0.00007321287,0.00003471116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003519867,"about_ca_system_score_gemma":0.00001769728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003068422,"about_ca_topic_score_gemma":0.00002361226,"domain_scores_codex":[0.9996574,0.00001599114,0.00008638667,0.00008873063,0.00008003399,0.00007145783],"domain_scores_gemma":[0.9998252,0.000003161084,0.00001659982,0.0000672819,0.00002580663,0.00006192471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000368083,0.0002241147,0.8943472,0.0001824141,0.0000152268,0.00004634991,0.0004823548,0.000002356243,0.0005932255,0.001799882,0.01178349,0.09015529],"study_design_scores_gemma":[0.0002984472,0.00009896723,0.9568921,0.00001962354,0.000005672963,0.0002982181,0.000008064804,0.00001831776,0.000128983,0.001100247,0.04110113,0.000030206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886367,0.00004941902,0.00003908229,0.00172832,0.0002210593,0.0002139049,0.000002063529,0.0000273239,0.009082124],"genre_scores_gemma":[0.9964194,0.00005261588,0.0004368114,0.00028136,0.001889338,0.000005483509,0.000002313476,0.000002988454,0.0009096913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09012508,"threshold_uncertainty_score":0.1395874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06627121318247071,"score_gpt":0.3156510178979317,"score_spread":0.249379804715461,"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."}}