{"id":"W1966404802","doi":"10.1111/ajr.12095","title":"Population, projections and rural heath","year":2014,"lang":"en","type":"editorial","venue":"Australian Journal of Rural Health","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Population; Quarter (Canadian coin); Population projection; Geography; Fertility; Projections of population growth; Population growth; Demography; Socioeconomics; Demographic economics; Economic growth; Sociology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.001271157,0.0005814432,0.0002192536,0.001560998,0.0005623281,0.0014863,0.0004999738,0.0004992319,0.01164025],"category_scores_gemma":[0.003731527,0.0002783556,0.0005443437,0.003049197,0.0003586033,0.001590802,0.001109767,0.001615803,0.003039414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002448881,"about_ca_system_score_gemma":0.003427296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1088353,"about_ca_topic_score_gemma":0.1048422,"domain_scores_codex":[0.9994436,0.0001524793,0.00003316985,0.00004197687,0.0002325183,0.00009625487],"domain_scores_gemma":[0.9993431,0.00007068664,0.00005858396,0.00003135549,0.0004060185,0.00009028018],"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":[0.0002046707,0.0000636823,0.01366197,0.001247338,0.00006901444,0.0002569659,0.0006634045,0.02145071,0.0001209097,0.05383044,0.7830669,0.125364],"study_design_scores_gemma":[0.00003136266,0.0001418518,0.03249387,0.0009792843,0.00003060671,0.0002746784,0.00182973,0.01129607,0.0002765229,0.02723526,0.9253426,0.00006815262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.07006705,0.07109619,0.01740751,0.09317899,0.01299611,0.0004767122,0.1964921,0.001931432,0.5363538],"genre_scores_gemma":[0.7182873,0.07628471,0.01730406,0.007655851,0.002102014,0.001187417,0.08152273,0.0004033573,0.09525252],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1088353,"threshold_uncertainty_score":0.2164037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08236255085842517,"score_gpt":0.4320467331881055,"score_spread":0.3496841823296803,"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."}}