{"id":"W2471292430","doi":"10.3917/popu.1601.0007","title":"Foreword","year":2016,"lang":"ceb","type":"article","venue":"Population (English Edition)","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Library science; History; Independence (probability theory); Political science; Sociology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007182665,0.000361887,0.00049498,0.0002045783,0.001513101,0.00004508103,0.0002528738,0.0007162398,0.007979251],"category_scores_gemma":[0.002246386,0.0002942862,0.0002353039,0.0003528599,0.0001346096,0.001135534,0.0001152862,0.0005329958,0.002114962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005359705,"about_ca_system_score_gemma":0.0001832001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007822423,"about_ca_topic_score_gemma":0.0009314842,"domain_scores_codex":[0.9962223,0.000693908,0.001011393,0.0005832255,0.0006742545,0.0008149589],"domain_scores_gemma":[0.996626,0.0008209537,0.0006280805,0.0005174095,0.001039426,0.0003681277],"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":[0.00009801846,0.0002290792,0.4068621,0.0004307015,0.0001330724,0.00001323291,0.05175179,0.000003316954,0.00002031542,0.09001883,0.4198991,0.03054039],"study_design_scores_gemma":[0.003106966,0.0001627189,0.6583429,0.00222188,0.0002418057,0.000001090714,0.02711909,0.00007738992,0.00004840227,0.05672087,0.2508329,0.001123925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7745123,0.001085784,0.01348495,0.01389209,0.1009933,0.003388194,0.002385253,0.002012815,0.08824532],"genre_scores_gemma":[0.9497947,0.0001712993,0.0001878499,0.00195321,0.02906668,0.0001120111,0.0005507175,0.00008383276,0.01807975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514808,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320575530824343,"score_gpt":0.3471417631250723,"score_spread":0.3139360078168289,"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."}}