{"id":"W3164995731","doi":"10.1016/j.cobeha.2021.03.013","title":"Understanding the effects of partisan identity on climate change","year":2021,"lang":"en","type":"article","venue":"Current Opinion in Behavioral Sciences","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Vetenskapsrådet; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; John Templeton Foundation","keywords":"Climate change; Identity (music); Ideology; Political science; Political economy; Climate change mitigation; Social psychology; Sociology; Psychology; Politics; Law; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002271321,0.0002111134,0.0003284521,0.0005466239,0.001070077,0.003627727,0.0004286256,0.001183873,0.007696379],"category_scores_gemma":[0.01055597,0.0002056112,0.0003912072,0.0005023144,0.001941875,0.002465015,0.001934996,0.001281404,0.0004979712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007566217,"about_ca_system_score_gemma":0.0006579332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007153621,"about_ca_topic_score_gemma":0.00834655,"domain_scores_codex":[0.9989116,0.0004956202,0.0000240013,0.0001922845,0.0001485972,0.0002278238],"domain_scores_gemma":[0.9925076,0.004387298,0.001218841,0.0006259925,0.0006258488,0.0006342692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001412431,0.001511366,0.6651916,0.0007545572,0.0007243245,0.0005670711,0.02646885,0.008354509,0.01982534,0.0902711,0.006034624,0.1788842],"study_design_scores_gemma":[0.00001845164,0.0001395953,0.9239771,0.00007953641,0.00009796236,0.00007901015,0.01150408,0.005197728,0.001072951,0.0508193,0.006959179,0.0000551013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424092,0.0006850887,0.002664886,0.003439428,0.0001376225,0.00001406652,0.00009369953,0.00001303866,0.05054301],"genre_scores_gemma":[0.9990813,0.0001982668,0.0001662651,0.0001532366,0.00003574271,0.00000367915,0.00002500393,0.000004854108,0.0003316442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007696379,"threshold_uncertainty_score":0.025747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8823960688438844,"score_gpt":0.590117088555805,"score_spread":0.2922789802880794,"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."}}