{"id":"W4402759571","doi":"10.1177/01622439241285478","title":"Making the Right Tools for the Job With Adele Clarke","year":2024,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's and Gender Studies et Recherches Féministes; University of Toronto","funders":"","keywords":"Engineering ethics; Sociology; Political science; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts","metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003883457,0.0001048854,0.0001522584,0.000403718,0.001615468,0.0001711199,0.0006938584,0.0001083319,0.0001029008],"category_scores_gemma":[0.01059486,0.00004083202,0.00004367271,0.001635652,0.006478121,0.0002063708,0.0001169246,0.0006965101,0.00003856302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143363,"about_ca_system_score_gemma":0.002804176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008221411,"about_ca_topic_score_gemma":0.00001745511,"domain_scores_codex":[0.9977341,0.00002264039,0.0001654424,0.0003424222,0.0007194722,0.00101597],"domain_scores_gemma":[0.998165,0.0006691958,0.00002816257,0.0005698294,0.0001615764,0.0004062515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001249729,0.00008264317,0.001247188,0.0004276317,0.00009552597,0.0002072895,0.0016083,0.00000340793,0.02300471,0.4201609,0.09170871,0.4613287],"study_design_scores_gemma":[0.0008928404,0.00271927,0.006174832,0.001206499,0.0001406136,0.0004440173,0.003518473,0.003365116,0.01374561,0.05514203,0.9124306,0.000220098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5090678,0.006669316,0.00367016,0.4628056,0.0004294585,0.002703121,0.000008295481,0.0008759778,0.0137703],"genre_scores_gemma":[0.9935904,0.00007738007,0.0006246686,0.003747903,0.0001808498,0.0001665879,8.596151e-7,0.00001264077,0.001598777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8207219,"threshold_uncertainty_score":0.9996843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2038675797924346,"score_gpt":0.4924566689226597,"score_spread":0.2885890891302251,"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."}}