{"id":"W3043471198","doi":"","title":"Abstract for Demography and Growth | Bulletin – June Quarter 2010","year":2010,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Demography; Gerontology; Geography; Medicine; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007083484,0.001335998,0.0009617882,0.004141368,0.001081097,0.002123919,0.0008970137,0.001062767,0.3857755],"category_scores_gemma":[0.003297068,0.0005402566,0.0005240491,0.003400475,0.0002961951,0.001403379,0.001005096,0.002147617,0.156657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685106,"about_ca_system_score_gemma":0.001582152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269579,"about_ca_topic_score_gemma":0.04888457,"domain_scores_codex":[0.9996793,0.00003893206,0.00003392794,0.00004087811,0.0001522196,0.00005478489],"domain_scores_gemma":[0.9970666,0.0004398319,0.0002173838,0.0002197995,0.001633051,0.0004234528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003954595,0.00002449168,0.0004033024,0.00004595604,0.000003402385,0.00000739038,0.000008443669,0.00002881827,0.0000287049,0.0001782849,0.9852865,0.01394509],"study_design_scores_gemma":[0.00003975337,0.0000500132,0.01390828,0.0001593874,0.00001225132,0.00002703581,0.00004739288,0.0001153086,0.0001437732,0.0002710269,0.9852164,0.000009279674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008240015,0.0285583,0.001711388,0.04722738,0.06865577,0.0007954439,0.1782829,0.00262597,0.6639028],"genre_scores_gemma":[0.008292303,0.005855057,0.0006337179,0.001211346,0.006921059,0.0002160762,0.03882633,0.000298431,0.9377457],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3857755,"threshold_uncertainty_score":0.8761166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333214434509777,"score_gpt":0.2624505503062762,"score_spread":0.2491184059611785,"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."}}