{"id":"W2913716243","doi":"10.1177/0162243919831411","title":"Risky Technologies: Systemic Uncertainty in Contraceptive Risk Assessment and Management","year":2019,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Risk assessment; Risk management; Optimal distinctiveness theory; Business; Negotiation; IT risk management; Medicine; Risk analysis (engineering); Public relations; Psychology; Political science; Computer science; Computer security; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0496715,0.0008749882,0.0008746114,0.004079798,0.008647227,0.01848177,0.002048397,0.005967138,0.002925937],"category_scores_gemma":[0.06803204,0.0008479329,0.0007826762,0.002580633,0.04574402,0.01708492,0.01428673,0.006837613,0.000273935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01103699,"about_ca_system_score_gemma":0.01111685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792791,"about_ca_topic_score_gemma":0.002285714,"domain_scores_codex":[0.9203776,0.06265885,0.002133832,0.002546281,0.01015648,0.00212713],"domain_scores_gemma":[0.8482206,0.1303579,0.01227272,0.00339999,0.00419203,0.001556678],"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":[0.00004625472,0.00006153803,0.005699257,0.000375657,0.00006124074,0.0009151349,0.1683382,0.002051031,0.0006278735,0.7809153,0.001806444,0.0391022],"study_design_scores_gemma":[0.0000216502,0.0001112363,0.003149423,0.001298183,0.00005500164,0.001041414,0.1176995,0.003540379,0.001217971,0.797945,0.07378791,0.0001324402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2315239,0.01979331,0.3598951,0.1894538,0.0006714104,0.0005867241,0.0001578016,0.0001526744,0.1977653],"genre_scores_gemma":[0.9748747,0.00287872,0.01714269,0.003071991,0.0002825521,0.0001814575,0.00002809406,0.00003398004,0.001505846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9913528,"threshold_uncertainty_score":0.2626911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502182083450412,"score_gpt":0.344609728659351,"score_spread":0.3295879078248469,"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."}}