{"id":"W3166779767","doi":"10.29173/cais1214","title":"#LibraryLife: A quantitative analysis of social media usage, content, and engagement at the Vancouver Public Library","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Web and Library Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Social media; Content analysis; Public engagement; Content (measure theory); User engagement; World Wide Web; Computer science; Sociology; Political science; Public relations; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005142743,0.0002416891,0.0006144673,0.0002484876,0.0002400223,0.002337805,0.002413969,0.0001040158,0.0001313445],"category_scores_gemma":[0.003051996,0.0001597524,0.0002750956,0.001858834,0.0005107995,0.01986896,0.002793255,0.0002326495,9.680575e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000014571,"about_ca_system_score_gemma":0.0003170439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003916437,"about_ca_topic_score_gemma":0.0000956366,"domain_scores_codex":[0.997999,0.0001195507,0.0005584054,0.000426681,0.0005602857,0.0003360892],"domain_scores_gemma":[0.9893917,0.0006953715,0.0009219885,0.0002982833,0.008570338,0.0001223367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001615123,0.0003235369,0.3774127,0.0004493271,0.002118743,0.000006281569,0.1671141,0.000005572315,0.01263549,0.4164154,0.01850742,0.004849893],"study_design_scores_gemma":[0.001007379,0.0002110823,0.825772,0.0001599971,0.0006921529,0.000009021172,0.02219404,0.004468253,0.05662891,0.008117101,0.08020489,0.0005351913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821275,0.0005336286,0.0001014043,0.00866952,0.0001713206,0.0001812516,0.000225882,0.00004570901,0.007943811],"genre_scores_gemma":[0.9962404,0.0001552286,0.001859368,0.0007060634,0.00004367612,0.00001547903,0.00001301001,0.0000139438,0.0009528629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4483592,"threshold_uncertainty_score":0.9986979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05340150282778512,"score_gpt":0.2478068197128335,"score_spread":0.1944053168850484,"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."}}