{"id":"W4392908383","doi":"10.32920/25417348","title":"Make the Environment Great Again: Extending Past-focused Environmental Comparisons for Conservatives","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Appeal; Politics; Social psychology; Psychology; Political science; Public relations; Law","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":[0.0008373234,0.0002323785,0.0002413879,0.00006255957,0.000940989,0.000254674,0.0006530926,0.0002264391,0.003515946],"category_scores_gemma":[0.00002528882,0.000176549,0.0002380637,0.00004850174,0.000628281,0.00003261519,0.001161554,0.0004700561,0.0002785135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305463,"about_ca_system_score_gemma":0.00004922366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000532116,"about_ca_topic_score_gemma":0.003778769,"domain_scores_codex":[0.998315,0.0003473645,0.0003024178,0.0004044616,0.0003289269,0.0003017989],"domain_scores_gemma":[0.9986688,0.0004568889,0.0001477724,0.0006240624,0.000009530731,0.00009297606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001457784,0.0008910842,0.02089107,0.0006073889,0.0007779601,0.000008278339,0.3195216,0.0004499825,0.001606355,0.1021105,0.2805078,0.2724822],"study_design_scores_gemma":[0.0001937268,0.00002267018,0.004201664,0.00008879992,0.00009046646,2.904206e-7,0.03681874,0.001525429,0.00002130105,0.00702512,0.9496922,0.0003196031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3121839,0.01134529,0.0113434,0.2333516,0.007072817,0.01459874,0.003266593,0.001376923,0.4054607],"genre_scores_gemma":[0.9494371,0.01567816,0.003512076,0.001358304,0.0007629818,0.001254759,0.0007600854,0.00006652611,0.02716995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6691844,"threshold_uncertainty_score":0.997395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4644150086498503,"score_gpt":0.4290557299426324,"score_spread":0.03535927870721794,"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."}}