{"id":"W3093915872","doi":"10.1002/pra2.294","title":"My favorite unreliable source? Information sharing and acquisition through informal networks","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Misinformation; Internet privacy; Social media; Social network (sociolinguistics); Public relations; Sociology; Focus (optics); Information sharing; Key (lock); Personally identifiable information; World Wide Web; Computer science; Political science; Computer security","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":[0.005424651,0.0002145546,0.0002936765,0.001799593,0.00352756,0.008867284,0.0008748852,0.001457993,0.02017363],"category_scores_gemma":[0.04077774,0.0002801752,0.0002047947,0.001601332,0.003675076,0.01102948,0.004438666,0.00187177,0.001938293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575542,"about_ca_system_score_gemma":0.00126852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004050668,"about_ca_topic_score_gemma":0.003782219,"domain_scores_codex":[0.9969481,0.001833905,0.0001100851,0.0002709773,0.0005042406,0.0003327358],"domain_scores_gemma":[0.9698099,0.01917658,0.004828134,0.001670537,0.002558027,0.001956864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000526323,0.0004450677,0.171139,0.0003931164,0.000111215,0.002473488,0.3406332,0.0007926222,0.002567643,0.2593354,0.03043262,0.1911503],"study_design_scores_gemma":[0.00012331,0.0003042516,0.07875419,0.00100118,0.0001596166,0.003086338,0.4825877,0.00910158,0.002197516,0.1996706,0.222808,0.0002057236],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.72886,0.001329965,0.01176453,0.03017047,0.0002862943,0.00009375907,0.0002829462,0.0001127059,0.2270993],"genre_scores_gemma":[0.9920382,0.0003316192,0.0005327761,0.0004122092,0.00008960693,0.00001410108,0.00004159867,0.00003064724,0.006509113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02017363,"threshold_uncertainty_score":0.06748754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268298695447946,"score_gpt":0.2596432315003343,"score_spread":0.2469602445458549,"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."}}