{"id":"W4404315065","doi":"10.1145/3678884.3682054","title":"Co-Designing Reproductive Justice Futures: Intersectional Care-Activism for Abortion Access","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reproductive justice; Futures contract; Abortion; Economic Justice; Computer science; Sociology; Gender studies; Political science; Business; Pregnancy; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03059892,0.00077946,0.0004902261,0.002020718,0.01689193,0.0174765,0.002491546,0.004493497,0.01610606],"category_scores_gemma":[0.02419719,0.0007243545,0.001208569,0.00109106,0.04649869,0.01282482,0.0229645,0.00592231,0.001524895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006274209,"about_ca_system_score_gemma":0.008986889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024527,"about_ca_topic_score_gemma":0.003913903,"domain_scores_codex":[0.9570618,0.03792059,0.0004051779,0.001564995,0.001634098,0.001413416],"domain_scores_gemma":[0.9692927,0.02344371,0.001024133,0.002819291,0.001217823,0.002202409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005005246,0.0002108689,0.002746695,0.0004403464,0.00002104782,0.0004101813,0.5592358,0.00032376,0.001055823,0.3806337,0.006146251,0.04872553],"study_design_scores_gemma":[0.00004856324,0.0001813967,0.001184113,0.001201908,0.00004318978,0.0007857303,0.3985605,0.001172377,0.002266446,0.2190585,0.375448,0.00004912692],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.179649,0.004411846,0.2139058,0.1040451,0.00148033,0.0007521724,0.0001278503,0.0006154997,0.4950123],"genre_scores_gemma":[0.9211226,0.001269572,0.05094305,0.004572999,0.0001175196,0.000876158,0.00006232328,0.0002392634,0.02079658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03059892,"threshold_uncertainty_score":0.1618245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429596729093294,"score_gpt":0.379134407787268,"score_spread":0.3361747348779386,"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."}}