{"id":"W4414110840","doi":"10.1371/journal.pone.0331672","title":"More than scientists: How message and messenger attributes influence viewers’ climate change intentions","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Relevance (law); Climate change; Function (biology); Multilevel model; Action (physics); Politics; Biology and political orientation; Predictive power","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":[0.001414327,0.0001439256,0.000148767,0.0002786487,0.0002674782,0.001144484,0.0001127645,0.0003143058,0.004701247],"category_scores_gemma":[0.008272623,0.0001070104,0.0002234752,0.0001472723,0.0002809247,0.0005541333,0.0004102055,0.0004661792,0.000353744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998495,"about_ca_system_score_gemma":0.0001396521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960755,"about_ca_topic_score_gemma":0.002708879,"domain_scores_codex":[0.9996165,0.0002051074,0.00001299015,0.00005767574,0.00006366892,0.00004404787],"domain_scores_gemma":[0.9958816,0.002656574,0.000743975,0.000149414,0.0002528152,0.000315635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001709507,0.0006401333,0.9161993,0.0001647998,0.0001422723,0.0001448906,0.02783976,0.0002452643,0.01110862,0.001079179,0.001375493,0.03935083],"study_design_scores_gemma":[0.00003561194,0.0003622186,0.9868379,0.00003211529,0.00009813569,0.00006478842,0.007665389,0.001414707,0.001261855,0.00048712,0.001720256,0.00001987427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975872,0.00003829439,0.0001895344,0.0001171299,0.000007782715,0.0000091872,0.00005015092,0.000005434491,0.001995335],"genre_scores_gemma":[0.9992906,0.00002745851,0.000160257,0.00004195092,0.000007802371,0.00001137119,0.00004632768,0.00000488456,0.0004094442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004701247,"threshold_uncertainty_score":0.01572728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.420162020517339,"score_gpt":0.4064032242281364,"score_spread":0.01375879628920262,"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."}}