{"id":"W4383197952","doi":"10.2196/preprints.50552","title":"Bridging and Bonding Social Capital by Analyzing the Demographics, User Activities, and Social Network Dynamics of Sexual Assault Centers on Twitter: Mixed Methods Study (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Popularity; Geography; Presentation (obstetrics); Demography; Political science; Cartography; Psychology; Medicine; Sociology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006168758,0.0002451535,0.0004378494,0.000190174,0.002151427,0.0005016692,0.0005542648,0.0003645709,0.000008533535],"category_scores_gemma":[0.0001373999,0.0002199122,0.000108975,0.0004273449,0.0005392507,0.0001845234,0.001267334,0.001005129,3.1805e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118541,"about_ca_system_score_gemma":0.0001230502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008043602,"about_ca_topic_score_gemma":0.01020736,"domain_scores_codex":[0.995723,0.002407453,0.0004775457,0.0005150958,0.0004985055,0.0003783751],"domain_scores_gemma":[0.9981058,0.0008601876,0.0005055668,0.0003592899,0.0001092915,0.00005985565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005858566,0.0004630977,0.5110565,0.0001072959,0.001712561,0.000001343368,0.2408563,0.0004000726,0.00006190994,0.08805154,0.0193068,0.1379239],"study_design_scores_gemma":[0.0006349732,0.0001010838,0.3178332,0.000070442,0.0004690963,5.445193e-7,0.6595126,0.01090259,0.000004414658,0.007697534,0.0020422,0.0007312833],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767681,0.0001283906,0.0140826,0.006763713,0.0003964826,0.0007310555,0.0000375349,0.0001136661,0.0009784694],"genre_scores_gemma":[0.9977246,0.0001955492,0.001047742,0.00005270115,0.0002287946,0.00006035597,0.00008921197,0.00002983185,0.0005712218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4186563,"threshold_uncertainty_score":0.9991477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04299195434998417,"score_gpt":0.3720747906262739,"score_spread":0.3290828362762897,"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."}}