{"id":"W4318763918","doi":"10.32920/21992078.v1","title":"Enabling Community Through Social Media","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"University of British Columbia","keywords":"Centrality; Social media; Social network analysis; Social network (sociolinguistics); Set (abstract data type); Perspective (graphical); Online community; Psychology; Sociology; World Wide Web; Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006311269,0.0006886399,0.0004206361,0.004621739,0.00650157,0.01191682,0.002018906,0.002986038,0.03019531],"category_scores_gemma":[0.0184241,0.0005326696,0.0009427332,0.002686759,0.00974361,0.0252873,0.0210666,0.002733393,0.005097721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002131463,"about_ca_system_score_gemma":0.003007028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826405,"about_ca_topic_score_gemma":0.002188573,"domain_scores_codex":[0.9938964,0.003771723,0.000205945,0.0007072918,0.0008934315,0.0005251467],"domain_scores_gemma":[0.985507,0.008049075,0.001113341,0.002447362,0.0009074599,0.001975801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006772419,0.0001183062,0.003468987,0.0006626817,0.00006015804,0.0007160058,0.02944102,0.001404335,0.0013832,0.7215862,0.05578983,0.1853015],"study_design_scores_gemma":[0.00003557567,0.00007708605,0.001573781,0.0004911693,0.00002950739,0.0003097695,0.01369847,0.003856108,0.0009691222,0.3695116,0.6093928,0.00005501772],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07333285,0.0045939,0.1730617,0.06668359,0.002921083,0.0008538373,0.001053384,0.002839937,0.6746598],"genre_scores_gemma":[0.8710496,0.003468435,0.05409647,0.004587576,0.001435116,0.001038754,0.0007614223,0.0005404491,0.06302207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03019531,"threshold_uncertainty_score":0.1010134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5752402207825174,"score_gpt":0.5149934156389102,"score_spread":0.06024680514360714,"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."}}