{"id":"W4406465431","doi":"10.1371/journal.pone.0317338","title":"Climate-denying rumor propagation in a coupled socio-climate model: Impact on average global temperature","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rumor; Climate change; Heat wave; Climate model; Environmental science; Climatology; Atmospheric sciences; Physics; Biology; Ecology; Political science; Geology; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007283918,0.0001397485,0.0002248134,0.0001065639,0.0006085597,0.0001609157,0.0002580087,0.0001743039,0.0003003328],"category_scores_gemma":[0.0001593146,0.0001321119,0.00007160794,0.0005317455,0.00008150437,0.0002165117,0.0000842,0.0002410716,0.000104493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009211534,"about_ca_system_score_gemma":0.0001332248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003845919,"about_ca_topic_score_gemma":0.002455446,"domain_scores_codex":[0.9985417,0.0002232786,0.0002433948,0.0002272468,0.0003706566,0.0003937497],"domain_scores_gemma":[0.999355,0.00008268536,0.00008704956,0.0002866262,0.0001177502,0.00007092306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002934767,0.01654778,0.4650212,0.00202637,0.0004897593,0.00002890037,0.1574373,0.01016275,0.1831058,0.1467241,0.001776991,0.01374423],"study_design_scores_gemma":[0.006331233,0.0004538239,0.2414301,0.006768556,0.0003234033,0.000001264217,0.02837076,0.6983592,0.001745222,0.01407783,0.0002313196,0.001907304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714441,0.00007589946,0.00001379811,0.004366188,0.00004524234,0.0005916492,0.00007774433,0.0001632963,0.02322211],"genre_scores_gemma":[0.9949845,0.003791413,0.0001916228,0.0005683818,0.00005998353,0.0000766435,0.0001199236,0.00001037154,0.0001971621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6881965,"threshold_uncertainty_score":0.5387367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2319921826719878,"score_gpt":0.4134548792959863,"score_spread":0.1814626966239985,"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."}}