{"id":"W3032686055","doi":"10.7202/1068776ar","title":"“Deep” Time in Times of Precarity. Comics and Anthropocene Poetics","year":2020,"lang":"en","type":"article","venue":"Captures","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anthropocene; Temporality; Comics; Deep time; Poetics; Counterpoint; Literature; Reading (process); Contradiction; Art; Politics; Aesthetics; History; Sociology; Philosophy; Geology; Poetry; Environmental ethics; Epistemology; Political science; Law; Paleontology; Linguistics","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":[0.00002963414,0.00006903431,0.0001487516,0.00004258508,0.00003375161,0.00002770068,0.00006029373,0.00002591265,0.0007734285],"category_scores_gemma":[0.00001853991,0.00005960623,0.00002395465,0.00002597316,0.0003038928,0.00003277795,0.00003404818,0.00006527048,0.000002880867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002039158,"about_ca_system_score_gemma":0.000008136445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073436,"about_ca_topic_score_gemma":0.000276185,"domain_scores_codex":[0.999651,0.00001658215,0.0001118916,0.00009667913,0.00004948059,0.00007436685],"domain_scores_gemma":[0.9998114,0.00003181957,0.00004026527,0.00006030352,0.00002022689,0.00003594564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000746878,0.0001080205,0.003527453,0.0001257868,0.00006674551,0.000009868934,0.1461357,0.00004329006,0.0006452278,0.7837484,0.06380745,0.001707284],"study_design_scores_gemma":[0.004758898,0.001268429,0.008403502,0.0002953986,0.0001476419,0.000008911956,0.04293047,0.0311657,0.005379936,0.1424875,0.7615225,0.001631119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539245,0.01268147,0.00003833978,0.01298196,0.0002806785,0.0004672321,0.0001653402,0.0001403243,0.3193201],"genre_scores_gemma":[0.9984839,0.00011698,0.00006423482,0.0003588128,0.00009119316,0.000001184682,0.000005837678,0.00001207636,0.00086576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6977151,"threshold_uncertainty_score":0.8468499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940442844639666,"score_gpt":0.2163138295858382,"score_spread":0.1969094011394416,"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."}}