{"id":"W3140412610","doi":"10.3390/su13073747","title":"Making the Invisible Visible: Eco-Art and Design against the Anthropocene","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Anthropocene; Realm; Environmental ethics; Rendering (computer graphics); Environmental resource management; Aesthetics; Political science; Computer science; Law; Art; Environmental science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001693972,0.0002004765,0.0001611105,0.00001456327,0.0009380619,0.0001382264,0.0003381555,0.00007378381,0.002093277],"category_scores_gemma":[0.001384467,0.0001245102,0.00007570835,0.000483239,0.001666719,0.0002582419,0.0006550634,0.0002942503,0.00007772691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136862,"about_ca_system_score_gemma":0.00023467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007894487,"about_ca_topic_score_gemma":0.00004510551,"domain_scores_codex":[0.9975956,0.0007131304,0.0002883362,0.0005828557,0.0003460569,0.0004740378],"domain_scores_gemma":[0.9983767,0.000386932,0.00007773104,0.0009884317,0.00006252821,0.0001076873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001000753,0.0008328385,0.8649659,0.0001702185,0.00003694569,0.00005555191,0.005739107,0.006796722,0.0002398752,0.00256322,0.04041176,0.07808784],"study_design_scores_gemma":[0.0002825506,0.00005758615,0.8358786,0.000006382533,0.00002479609,0.00002352988,0.01847681,0.001277195,0.00108999,0.04403324,0.09854768,0.0003017097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359272,0.0004712633,0.002794885,0.04911862,0.0001856895,0.001244257,0.000004299951,0.00006608854,0.01018771],"genre_scores_gemma":[0.9947142,0.00008817929,0.0005766747,0.002703732,0.00003316785,0.00008128169,0.000003859556,0.00001601034,0.001782875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07778613,"threshold_uncertainty_score":0.9988189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715486748468193,"score_gpt":0.2901119182114599,"score_spread":0.272957050726778,"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."}}