{"id":"W2519002810","doi":"","title":"The Impact of Key Words on Knowledge Reuse in Emergency Management Social Media","year":2016,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Reuse; Knowledge management; Social media; Key (lock); Computer science; Seekers; Knowledge sharing; Contingency; Set (abstract data type); Cognition; Personal knowledge management; Emergency management; World Wide Web; Computer security; Engineering; Psychology; Organizational learning; Political science","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":[0.001068137,0.0001297052,0.0001979096,0.0002582411,0.0003216781,0.0001137448,0.0006024143,0.00005601255,0.0001250579],"category_scores_gemma":[0.000251688,0.00007495673,0.00009193064,0.000563424,0.0001633459,0.0005544508,0.0001026405,0.00007700649,0.0006149829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453456,"about_ca_system_score_gemma":0.00007711731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004914079,"about_ca_topic_score_gemma":0.0002395038,"domain_scores_codex":[0.9983507,0.0002251619,0.0005857943,0.0001100054,0.000416134,0.0003121878],"domain_scores_gemma":[0.9988684,0.0002110638,0.0003847065,0.0002927499,0.000182916,0.00006017972],"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":[0.0000763787,0.00006334717,0.003598273,0.00003875125,0.00005965654,7.117038e-7,0.09148939,0.00001626855,0.000008679363,0.6487818,0.0106726,0.2451941],"study_design_scores_gemma":[0.004125937,0.0007559343,0.2252961,0.001645877,0.0000611244,6.802817e-7,0.3306409,0.002538549,0.00004825424,0.009397618,0.4238405,0.001648546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09937807,0.00003294972,0.0004026414,0.0006484076,0.001030565,0.0005838883,0.00001036319,0.00006299711,0.8978501],"genre_scores_gemma":[0.9975473,0.0005413088,0.000005203328,0.00000666852,0.0001210086,0.0000788047,0.000002911899,0.000005000567,0.001691778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8981692,"threshold_uncertainty_score":0.7904565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0588211147442279,"score_gpt":0.3540011756888398,"score_spread":0.2951800609446119,"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."}}