{"id":"W4405975979","doi":"10.1093/geroni/igae098.1088","title":"THE GLOBAL PRIDE STUDY: LESSONS LEARNED AND NEXT STEPS","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Rhetoric and Communication Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pride; Computer science; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003949094,0.0000540491,0.00005833293,0.00005856443,0.0004450438,0.00055515,0.00009078435,0.000008384479,0.00001864826],"category_scores_gemma":[0.00003808986,0.00003771762,0.000007718499,0.0002510025,0.00008825654,0.0001735497,0.0000853134,0.0001000534,0.00001504405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004283067,"about_ca_system_score_gemma":0.00001942401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001627729,"about_ca_topic_score_gemma":0.0005289551,"domain_scores_codex":[0.9994802,0.00003266752,0.000212386,0.00009935894,0.00009107694,0.00008430172],"domain_scores_gemma":[0.9996403,0.0001123733,0.0000343618,0.0001309086,0.00007699014,0.000005005677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001865623,0.000012145,0.002501706,0.000005520288,0.00001863636,0.000001027169,0.03729814,0.000001385482,0.000002036795,0.8818859,0.0008893839,0.07738227],"study_design_scores_gemma":[0.0001129875,0.00001285099,0.006064492,0.00003788688,0.000005075026,7.285201e-7,0.07377514,0.0002149794,0.00000157806,0.02633869,0.8933702,0.00006536639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7515342,0.00782359,0.000463724,0.06253052,0.001413074,0.0004162824,0.000007273502,0.0002822757,0.1755291],"genre_scores_gemma":[0.996651,0.0001698727,0.00001207404,0.0001879049,0.0001137969,0.00003197142,0.000001664755,0.000004339685,0.002827407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8924809,"threshold_uncertainty_score":0.5353324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650487163039142,"score_gpt":0.3681610854125861,"score_spread":0.2031123691086719,"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."}}