{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005783234,0.0002288599,0.0001871211,0.0005224566,0.003345334,0.005028276,0.0005574641,0.003227756,0.007607349],"category_scores_gemma":[0.01895748,0.0001675858,0.0002694781,0.000570066,0.003794688,0.00719532,0.00345543,0.00240853,0.002220518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336916,"about_ca_system_score_gemma":0.002001044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420533,"about_ca_topic_score_gemma":0.0034967,"domain_scores_codex":[0.9938973,0.004968357,0.0001571974,0.0001545707,0.0004758678,0.0003467722],"domain_scores_gemma":[0.9887167,0.007924648,0.001232417,0.0002849213,0.0006122207,0.00122907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002091456,0.0001555383,0.01480422,0.001198565,0.00005056657,0.002493469,0.243213,0.0001998858,0.001735222,0.1438794,0.281005,0.3110561],"study_design_scores_gemma":[0.00002767222,0.00009328595,0.00366693,0.001328464,0.00002521818,0.0009939845,0.1110805,0.0003091424,0.0008416482,0.02436754,0.8572215,0.0000441322],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03752588,0.01046076,0.003222656,0.7972447,0.003325678,0.00006926938,0.00008453344,0.00007251162,0.147994],"genre_scores_gemma":[0.7222372,0.03320445,0.006702803,0.1637245,0.004563631,0.0004370759,0.0001201081,0.0001430814,0.0688672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007607349,"threshold_uncertainty_score":0.03058499,"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."}}