{"id":"W4413776288","doi":"10.1177/01622439251356930","title":"Infrastructuring Care: Co-Designing Computational Notebooks for Environmental Data Justice","year":2025,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Economic Justice; Environmental justice; Sociology; Engineering ethics; Political science; Computer science; Environmental ethics; Management science; Engineering; Law; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0005454764,0.0001570962,0.0001487366,0.000224191,0.002026403,0.00006778987,0.001788495,0.0001051103,0.0001739262],"category_scores_gemma":[0.0002065207,0.0001631657,0.00002837165,0.000517489,0.005690988,0.0004807221,0.001287622,0.0001735199,0.00003224058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006965098,"about_ca_system_score_gemma":0.00007033237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001587404,"about_ca_topic_score_gemma":0.00001809979,"domain_scores_codex":[0.9981024,0.00001774615,0.0002220741,0.0008145075,0.0003626347,0.0004806073],"domain_scores_gemma":[0.9990067,0.00009222658,0.0001051694,0.0007337431,0.00001581322,0.00004633536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001132572,0.0004263216,0.2247333,0.0006092488,0.00007565816,0.00003206792,0.02239776,0.03127883,0.4938011,0.06533127,0.008827332,0.1523738],"study_design_scores_gemma":[0.002778521,0.000591934,0.1628668,0.0001884057,0.0003189196,0.00003510457,0.1563654,0.02267755,0.1731792,0.4502283,0.02915575,0.001614011],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846064,0.0001166259,0.005851089,0.0003861045,0.0001668187,0.0005016726,0.00008746757,0.000195849,0.008087968],"genre_scores_gemma":[0.9875466,0.000004737248,0.01169197,0.0002127773,0.00002215361,0.00004486841,0.00004320791,0.000008507101,0.0004252026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3848971,"threshold_uncertainty_score":0.9992728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565355704639601,"score_gpt":0.3308094943636107,"score_spread":0.3051559373172147,"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."}}