{"id":"W7015393359","doi":"","title":"Social Policy Trends: It's Not Just The Cold","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00693464,0.0005352767,0.00078617,0.001596814,0.003381706,0.01063154,0.001021599,0.005163029,0.03479995],"category_scores_gemma":[0.02016158,0.0003196354,0.0007498433,0.003769533,0.004485183,0.01451226,0.002697885,0.01266078,0.00599342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004912314,"about_ca_system_score_gemma":0.009942397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000864,"about_ca_topic_score_gemma":0.03252682,"domain_scores_codex":[0.9962643,0.001109854,0.0002211291,0.0004976477,0.00126388,0.0006432005],"domain_scores_gemma":[0.9847773,0.00398923,0.001775776,0.001064451,0.004994602,0.003398628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007211042,0.0000550216,0.004621607,0.0003972709,0.00004668951,0.00005496135,0.001214592,0.0001359243,0.0002498219,0.06013163,0.8843011,0.04871918],"study_design_scores_gemma":[0.00002483537,0.00004708181,0.01089966,0.0007480325,0.00003618194,0.00009825867,0.004580422,0.0001171795,0.0001848404,0.04482526,0.9383881,0.000050175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002680351,0.009143336,0.0007127366,0.9463643,0.01542589,0.00000971856,0.001290318,0.0001154643,0.02425791],"genre_scores_gemma":[0.1533422,0.04834957,0.003363681,0.6860587,0.04584489,0.0001428327,0.003157424,0.0008823161,0.05885838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03479995,"threshold_uncertainty_score":0.1164175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5643787864447954,"score_gpt":0.6497212354277988,"score_spread":0.08534244898300336,"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."}}