{"id":"W1980014759","doi":"10.5751/es-06474-190236","title":"Communicating adaptation with emotions: the role of intense experiences in raising concern about extreme weather.","year":2014,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Raising (metalworking); Adaptation (eye); Extreme weather; Climate change adaptation; Psychology; Political science; Climate change; Social psychology; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007080412,0.00003809592,0.0000748175,0.000008555169,0.0004544843,0.00002137887,0.0001562905,0.00004199686,0.00002677401],"category_scores_gemma":[0.00005637605,0.00002526466,0.00002083035,0.0001017266,0.001030832,0.0001055839,0.00004273232,0.00007202089,8.302445e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001159667,"about_ca_system_score_gemma":0.00002347719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004821305,"about_ca_topic_score_gemma":0.003378285,"domain_scores_codex":[0.9994073,0.0002274782,0.00009719794,0.00008305195,0.0000726181,0.0001123661],"domain_scores_gemma":[0.9995397,0.0002601403,0.00007397143,0.00008377273,0.0000280296,0.00001438051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000512865,0.0000194956,0.0919845,0.000003892852,0.000009444611,8.454445e-8,0.8746871,0.00004002843,0.00005282954,0.02027699,0.00004050103,0.01288],"study_design_scores_gemma":[0.000161331,0.00003957967,0.105875,0.0000248222,0.000005667477,1.97753e-7,0.8857644,0.00263928,0.000009139849,0.002370713,0.003063523,0.00004635445],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816377,0.0002414859,0.0002630638,0.0006064992,0.00003771827,0.0001033642,1.246476e-7,0.000009871987,0.01710017],"genre_scores_gemma":[0.999006,0.0001642425,0.0003764186,0.0001726405,0.0000190127,0.00001598437,4.066976e-7,0.000001766565,0.0002434966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790628,"threshold_uncertainty_score":0.3798144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03626819533294747,"score_gpt":0.2847889041023502,"score_spread":0.2485207087694028,"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."}}