{"id":"W4413061712","doi":"10.1145/3715335.3736308","title":"Are You Thirsty? So is Your AI.","year":2025,"lang":"en","type":"article","venue":"","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002410142,0.00003860978,0.00005558883,0.00004543048,0.0005673416,0.0001045987,0.0002139251,0.00006420818,0.008893295],"category_scores_gemma":[0.0000770695,0.00003593023,0.00003737933,0.0002150783,0.0001014664,0.00008869624,0.00005586837,0.00007035646,0.0004749436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005265955,"about_ca_system_score_gemma":0.00004286103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601109,"about_ca_topic_score_gemma":0.01135442,"domain_scores_codex":[0.9995502,0.00007340602,0.00007801469,0.00008518891,0.000103651,0.0001095055],"domain_scores_gemma":[0.9996155,0.00003317643,0.00003319696,0.0002115063,0.00007228603,0.00003436176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001091827,0.0001218267,0.05067474,0.00002243591,0.00001756808,6.328079e-7,0.1530953,6.457141e-7,0.0001833517,0.1648594,0.5609018,0.07011145],"study_design_scores_gemma":[0.00006606316,0.000001829144,0.0146329,0.00001428921,0.000003701974,3.169585e-8,0.04752902,0.00003176715,0.00001918867,0.002795582,0.9348585,0.00004714925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03112675,0.0001628034,0.0001360947,0.1661914,0.0002434697,0.00009917828,0.000005609098,0.0001340429,0.8019007],"genre_scores_gemma":[0.8130018,0.003126484,0.0001268019,0.03365334,0.0001227212,0.00001308803,0.000009237821,0.000004039448,0.1499425],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7818751,"threshold_uncertainty_score":0.9920127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5022609733320695,"score_gpt":0.5112651004138657,"score_spread":0.00900412708179621,"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."}}