{"id":"W4414870623","doi":"10.2139/ssrn.5519119","title":"Cognitive Foundations of Climate Solutions","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cognition; Climate change; Cognitive reframing; Cognitive bias; Motivated reasoning; Climate policy","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":[0.001550794,0.0003499307,0.0003222266,0.001017882,0.001496652,0.004838452,0.0008802963,0.002013827,0.01178399],"category_scores_gemma":[0.008950097,0.0003138749,0.000582413,0.001118659,0.005281361,0.006120101,0.002586158,0.001625775,0.0006490484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659296,"about_ca_system_score_gemma":0.001549783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003937729,"about_ca_topic_score_gemma":0.002849376,"domain_scores_codex":[0.998711,0.0006114165,0.00004529179,0.0002404348,0.0002159782,0.0001760139],"domain_scores_gemma":[0.997243,0.001447852,0.000309099,0.0004133398,0.0003360826,0.0002505876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001438099,0.00002336655,0.0005727616,0.00002929343,0.00001772044,0.00002283025,0.0008961508,0.002853261,0.0001961993,0.9874107,0.0007337274,0.007229502],"study_design_scores_gemma":[0.00000663005,0.000004511842,0.0003769345,0.000007071612,0.000004991036,0.00001354709,0.0003342748,0.003139723,0.0000597658,0.9937735,0.002274875,0.000004206494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2124736,0.001155841,0.2178861,0.01673569,0.0002014713,0.00007776386,0.0002415201,0.0001869617,0.551041],"genre_scores_gemma":[0.9882819,0.0001984452,0.008211416,0.0001582389,0.00004545356,0.0000300561,0.00006932956,0.00002392938,0.002981154],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01178399,"threshold_uncertainty_score":0.03942138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911274266356768,"score_gpt":0.3106234846841125,"score_spread":0.2815107420205448,"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."}}