{"id":"W7113065851","doi":"","title":"Climate Grief: Relearning the Future","year":2023,"lang":"en","type":"article","venue":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","topic":"Environmental, Ecological, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deforestation (computer science); Biodiversity; Climate change; Disturbance (geology); Work (physics); Natural (archaeology); Property (philosophy); Intertidal zone; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006432896,0.0003189547,0.0003236195,0.0001940506,0.004533804,0.001634772,0.001870249,0.0002280763,0.001578517],"category_scores_gemma":[0.0003803081,0.0002528718,0.0002683395,0.002006445,0.0004799078,0.00367149,0.002104901,0.0005252026,0.0158745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006052046,"about_ca_system_score_gemma":0.00004406286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004534713,"about_ca_topic_score_gemma":0.001259363,"domain_scores_codex":[0.9970143,0.0002882095,0.0002436832,0.0006657099,0.0007495081,0.001038633],"domain_scores_gemma":[0.9986965,0.0002672158,0.0001611804,0.0003547984,0.0001045555,0.0004157733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003679673,0.0002005535,0.8905097,0.00004883728,0.0002694218,0.000524624,0.008329843,0.0002420406,0.000311272,0.03208975,0.04285743,0.02424862],"study_design_scores_gemma":[0.0002104259,0.00004688978,0.2611898,0.00002256715,0.00002825077,0.000001464019,0.007602947,0.00000128183,0.00004618502,0.0002347611,0.7303205,0.0002949394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668978,0.00002229558,0.000004633013,0.0037842,0.0004833539,0.0005404267,0.0001141606,0.0005828533,0.1275703],"genre_scores_gemma":[0.9655274,0.001906779,0.00002212393,0.001069438,0.000472699,0.00001032014,0.00008305586,0.00003022371,0.03087794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.687463,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430101963159884,"score_gpt":0.2693598738284009,"score_spread":0.2350588541968021,"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."}}