{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001950504,0.0003379976,0.0004685739,0.0003993973,0.000596936,0.0001326227,0.0005725807,0.0002745267,0.00156986],"category_scores_gemma":[0.0002523397,0.0003463188,0.0003523036,0.0003582883,0.001077794,0.0001112929,0.00009740137,0.0004440258,0.0002029526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000140207,"about_ca_system_score_gemma":0.00004620437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266428,"about_ca_topic_score_gemma":0.001657479,"domain_scores_codex":[0.9971649,0.0001027952,0.0006714624,0.0006392202,0.000662304,0.0007593122],"domain_scores_gemma":[0.9981615,0.0003492579,0.0003725188,0.0004952697,0.0003330523,0.0002883771],"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":[0.0001332973,0.0004218813,0.01504463,0.0002191352,0.0001635175,0.000007334104,0.002225235,0.000001813949,0.001414455,0.03386642,0.9462554,0.000246828],"study_design_scores_gemma":[0.0007991224,0.00007872522,0.09801579,0.00003453343,0.00006940831,0.000001722074,0.0005626066,0.000004373926,0.0001821445,0.002905514,0.8969363,0.0004097854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1095137,0.0003597115,0.0003526946,0.8630683,0.004312291,0.002494172,0.0001650457,0.0003785099,0.01935565],"genre_scores_gemma":[0.9943802,0.000399735,0.003400358,0.000749937,0.0006151475,0.0001437913,0.00002261392,0.00004858685,0.0002396413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8848665,"threshold_uncertainty_score":0.9998989,"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."}}