{"id":"W2182672293","doi":"10.29173/irie206","title":"Twitter Cares? Using Twitter to Care About, Care for and Care With Women Who Have Had Abortions","year":2011,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empathy; Newspaper; Social media; Value (mathematics); Abortion; Psychology; Internet privacy; Public relations; Media studies; Sociology; Political science; World Wide Web; Computer science; Social psychology; Pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004267993,0.0001213207,0.0002385008,0.000102521,0.0001498903,0.00002186234,0.0001235532,0.00007658382,0.00004741411],"category_scores_gemma":[0.0004189181,0.00007816456,0.00005692836,0.00009339726,0.00007446876,0.000321817,0.00003491047,0.0002772782,0.000007268511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513707,"about_ca_system_score_gemma":0.0003362707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367741,"about_ca_topic_score_gemma":0.00004549978,"domain_scores_codex":[0.9987795,0.00003728972,0.000467055,0.0001241262,0.0004417454,0.0001502801],"domain_scores_gemma":[0.9958342,0.00006040814,0.0002797152,0.0002588294,0.003477325,0.00008953612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008048455,0.00002379246,0.008694801,0.03701437,0.0001458913,0.000001145661,0.9090994,0.00004362889,0.00008389752,0.002101531,0.001795635,0.04019108],"study_design_scores_gemma":[0.002675983,0.001306063,0.06466117,0.03229509,0.0004182456,0.0001066572,0.2613375,0.0002585505,0.001913507,0.000262575,0.6342505,0.0005141565],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872314,0.0370074,0.02520347,0.02194222,0.0008487259,0.008230807,0.0003085487,0.00006896543,0.01915846],"genre_scores_gemma":[0.956937,0.006575154,0.005416359,0.02969714,0.0003226361,0.0005035722,0.000362754,0.00002148508,0.0001639087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6477618,"threshold_uncertainty_score":0.3187458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07762925279003478,"score_gpt":0.3842443349172868,"score_spread":0.306615082127252,"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."}}