{"id":"W2036264285","doi":"10.1002/wcc.272","title":"Perceptions of time in relation to climate change","year":2014,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Climate change; Perception; Perspective (graphical); Context (archaeology); Relation (database); Political economy of climate change; Sociology; Psychology; Social psychology; Ecology; Geography; Computer science; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00328842,0.0002627083,0.0006385453,0.0004434939,0.0005494934,0.00005172865,0.0005731843,0.0001970639,0.00282698],"category_scores_gemma":[0.0001698445,0.0002571144,0.0002306216,0.0008675671,0.0001852329,0.0006509723,0.0008352022,0.0002382515,0.003326978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650665,"about_ca_system_score_gemma":0.000009739581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002111992,"about_ca_topic_score_gemma":0.005011738,"domain_scores_codex":[0.9967009,0.001058972,0.0008921428,0.0004185303,0.0003018446,0.0006276037],"domain_scores_gemma":[0.9983962,0.0001638445,0.0003694099,0.0007286168,0.0001177244,0.0002241665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001414271,0.0005640753,0.03725917,0.0007964341,0.000008942884,0.000002170908,0.4349736,0.000003194358,0.002087337,0.006873342,0.002691822,0.5145985],"study_design_scores_gemma":[0.001621178,0.001145012,0.4457746,0.01672129,0.0001635947,0.00001240876,0.03816831,0.002828642,0.00001684578,0.002370978,0.4891699,0.002007259],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6918105,0.006867908,0.0001630635,0.0402518,0.001710898,0.009569899,0.0004839532,0.0005172631,0.2486247],"genre_scores_gemma":[0.6683072,0.3242735,0.0008323957,0.001861713,0.001475434,0.002316368,0.0005186253,0.0000809644,0.0003338435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5125912,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3368330004661727,"score_gpt":0.4609495733722845,"score_spread":0.1241165729061118,"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."}}