{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0128905,0.0005234518,0.0004602699,0.002777799,0.01282231,0.01239338,0.002140335,0.00206651,0.01549638],"category_scores_gemma":[0.03278085,0.0004200545,0.0004313091,0.001935061,0.01277237,0.009903571,0.02030493,0.003530143,0.001173008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00299286,"about_ca_system_score_gemma":0.007133262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004110411,"about_ca_topic_score_gemma":0.002996112,"domain_scores_codex":[0.9875589,0.00839272,0.0004652437,0.0005354968,0.001018087,0.002029479],"domain_scores_gemma":[0.9566475,0.02491708,0.005175802,0.002615361,0.002258776,0.008385552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001168398,0.0001702605,0.01625166,0.000230391,0.00002477114,0.00141888,0.9362057,0.000116198,0.0007104249,0.01892782,0.003179872,0.02264721],"study_design_scores_gemma":[0.00002147704,0.0001249004,0.005283264,0.0004617561,0.00002362833,0.0006980818,0.9440919,0.0004251374,0.0004201968,0.009320531,0.03909064,0.00003846491],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924536,0.00107032,0.004848901,0.02347164,0.0001457811,0.0001352231,0.00007123088,0.0001095584,0.04561136],"genre_scores_gemma":[0.996849,0.0002875809,0.0007333179,0.0004089866,0.0000284116,0.00003074643,0.00001560261,0.00001205507,0.001634374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549638,"threshold_uncertainty_score":0.06817234,"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."}}