{"id":"W4366590832","doi":"10.1145/3544549.3573833","title":"HCI for Climate Change: Imagining Sustainable Futures","year":2023,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Climate, Infrastructure and Environment Executive Agency; Leverhulme Research Centre for Functional Materials Design","keywords":"Futures contract; Climate change; Computer science; Environmental science; Business; Geology; Oceanography","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":[0.01867173,0.001562898,0.0007363886,0.004621589,0.005763899,0.01946231,0.002400163,0.007219887,0.01473761],"category_scores_gemma":[0.01905917,0.0007030398,0.001115951,0.003269944,0.03027452,0.02383852,0.00948739,0.006445464,0.002817628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004925158,"about_ca_system_score_gemma":0.004287998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005061194,"about_ca_topic_score_gemma":0.005443254,"domain_scores_codex":[0.9826696,0.01438296,0.000289315,0.0005713359,0.001407097,0.0006796409],"domain_scores_gemma":[0.9751875,0.02108543,0.0002622116,0.001214845,0.001097295,0.00115269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000101909,0.00009543338,0.002715448,0.002694458,0.00007798173,0.0007258634,0.3170257,0.001689748,0.004042607,0.4812753,0.07075799,0.1187976],"study_design_scores_gemma":[0.00003699336,0.00009542965,0.00102905,0.001871545,0.00003427267,0.0008767132,0.1624734,0.002005181,0.001382533,0.3700172,0.4600651,0.0001125493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03708414,0.05243507,0.2420971,0.2832221,0.007432296,0.0004643261,0.0004275284,0.002328797,0.3745086],"genre_scores_gemma":[0.7488803,0.04382513,0.1226569,0.03757386,0.002727674,0.001392512,0.000517395,0.001047749,0.04137846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01946231,"threshold_uncertainty_score":0.09874678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213838453036667,"score_gpt":0.3325226945402459,"score_spread":0.2903843100098792,"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."}}