{"id":"W4306250799","doi":"10.1002/pra2.654","title":"Information Intermediaries and Information Resilience: Working to Support Marginalised Groups","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Intermediary; Vulnerability (computing); Group information management; Seekers; Resilience (materials science); Work (physics); Workaround; Personal information management; Business; Information management; Psychological resilience; Information sharing; Knowledge management; Information behavior; Public relations; Information infrastructure; Community resilience; Information needs; Information system; Management information systems; Political science; Psychology; Marketing; Computer science; Resource (disambiguation); Social psychology; World Wide Web; Computer security; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003174394,0.00007132212,0.0001042834,0.0009425901,0.001778218,0.000470763,0.0006316914,0.00006169282,0.000006674566],"category_scores_gemma":[0.002994841,0.00006218659,0.00002013175,0.002689274,0.0007381386,0.01180711,0.0005767855,0.0001151954,0.000004757397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305981,"about_ca_system_score_gemma":0.0001665386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001570866,"about_ca_topic_score_gemma":0.000005450609,"domain_scores_codex":[0.9982621,0.000007005067,0.0003729693,0.0000744268,0.001006767,0.0002766991],"domain_scores_gemma":[0.9982015,0.00004892853,0.0006492916,0.0000624626,0.0009870294,0.00005082459],"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":[0.00002683503,0.000006879171,0.03471734,0.00003839106,0.000005607005,3.823209e-9,0.03747738,0.00001039578,0.0001058226,0.8697574,0.003845545,0.05400844],"study_design_scores_gemma":[0.000492993,0.0001820123,0.01317457,0.00002061678,0.00001790812,0.000001564547,0.1438256,0.0002763314,0.0006665775,0.01070937,0.8304664,0.0001660196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808912,0.00000927908,0.0005802144,0.03151286,0.0008854464,0.002127564,0.00003604281,0.0001920222,0.08376539],"genre_scores_gemma":[0.9985849,0.0000224884,0.0002389388,0.0008191122,0.0000124031,0.0001457779,0.000004414841,0.000001319848,0.0001706675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.859048,"threshold_uncertainty_score":0.9995213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007120898404605841,"score_gpt":0.24923710961016,"score_spread":0.2421162112055542,"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."}}