{"id":"W1561439374","doi":"10.1109/ihtc.2015.7238051","title":"Exploring the citizen-driven response to crisis in cyberspace, risk and the need for resilience","year":2015,"lang":"en","type":"article","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cyberspace; Resilience (materials science); Context (archaeology); Psychological resilience; Political science; Diaspora; Sociology; Public relations; Computer science; Internet privacy; The Internet; Geography; Psychology; Social psychology; World Wide Web; 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":[0.003864039,0.00006953347,0.00009677649,0.00007679928,0.0004256929,0.0001763091,0.0004286042,0.00001769307,0.000006928654],"category_scores_gemma":[0.001676695,0.00003588622,0.00003115432,0.0004913014,0.0003670281,0.0002794586,0.0001471549,0.00006413534,0.0000157433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003789984,"about_ca_system_score_gemma":0.00004921756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003739244,"about_ca_topic_score_gemma":0.007523705,"domain_scores_codex":[0.9985998,0.0005282987,0.0001143214,0.0001936379,0.0002952137,0.0002687304],"domain_scores_gemma":[0.9987005,0.0009044501,0.00003686928,0.0002033131,0.00005162465,0.0001032263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005736504,0.00005673023,0.01503155,0.000009632345,0.00002711598,0.000005467891,0.6536814,0.002060708,0.00006217662,0.2066909,0.0960015,0.02063629],"study_design_scores_gemma":[0.001912759,0.0001001745,0.022209,0.00002199994,0.00002344355,2.069865e-7,0.804665,0.0006892438,0.00003121671,0.009193598,0.1609617,0.0001916694],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989646,0.00004689315,0.001550865,0.06361531,0.0002321582,0.0009754118,0.000001455056,0.0000382732,0.03457503],"genre_scores_gemma":[0.9888109,0.0001049561,0.0005342072,0.0007699656,0.00006239466,0.0001798067,8.183792e-8,0.000004767925,0.009532901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1974973,"threshold_uncertainty_score":0.5652643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07602687864314156,"score_gpt":0.3138618310983179,"score_spread":0.2378349524551764,"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."}}