{"id":"W4403231350","doi":"10.4017/gt.2024.23.s.894.1.sp","title":"Innovative technologies for health equity in marginalized groups and underserved communities","year":2024,"lang":"en","type":"article","venue":"Gerontechnology","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Erasmus+; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Health equity; Equity (law); Business; Gerontology; Economic growth; Sociology; Political science; Medicine; Economics; Health care","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0125574,0.0003464133,0.0006396798,0.001971099,0.005142155,0.01121084,0.001232056,0.005950688,0.02123054],"category_scores_gemma":[0.02694468,0.000215087,0.0008144734,0.001259411,0.008554504,0.01229997,0.01600685,0.005116772,0.001539901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003778334,"about_ca_system_score_gemma":0.01358387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002958877,"about_ca_topic_score_gemma":0.002970575,"domain_scores_codex":[0.992512,0.004590764,0.000256917,0.0003113408,0.0009672018,0.001361851],"domain_scores_gemma":[0.9843383,0.0101813,0.0006685652,0.0009734818,0.0008255033,0.003012794],"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":[0.00007421955,0.0003073824,0.006090817,0.001434163,0.00005474674,0.0004464101,0.02886619,0.0003219329,0.0006146686,0.5055314,0.08641043,0.3698475],"study_design_scores_gemma":[0.00007082529,0.0002990625,0.007321276,0.00565495,0.00007036862,0.0006514349,0.04629644,0.0005811973,0.0007550679,0.3417948,0.5964641,0.00004051186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03436994,0.05157267,0.009719949,0.7034729,0.0038187,0.0003937552,0.0001795041,0.0002107483,0.1962618],"genre_scores_gemma":[0.7836987,0.0615026,0.01453075,0.1091566,0.003899464,0.0009059227,0.0002513591,0.0001181006,0.02593642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02123054,"threshold_uncertainty_score":0.07102329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08445069165352147,"score_gpt":0.3327897246847027,"score_spread":0.2483390330311812,"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."}}