{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006392793,0.000883085,0.0002933661,0.001952044,0.008653737,0.01223117,0.001611576,0.002849834,0.008667788],"category_scores_gemma":[0.005808022,0.0004655719,0.0005954806,0.0009618583,0.02848745,0.008182544,0.008088591,0.00220566,0.001018722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002887771,"about_ca_system_score_gemma":0.002530862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672862,"about_ca_topic_score_gemma":0.005767469,"domain_scores_codex":[0.9948323,0.003523547,0.0001170521,0.0003141682,0.0008334279,0.0003794767],"domain_scores_gemma":[0.9958351,0.002304577,0.0002689977,0.0009439032,0.0003257839,0.0003217456],"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":[0.0001070638,0.0001443661,0.002666657,0.0005676228,0.0000340043,0.0007940421,0.1915675,0.002868075,0.003753502,0.65848,0.009506631,0.1295104],"study_design_scores_gemma":[0.000043526,0.0001634626,0.002136396,0.0009778517,0.00005671503,0.0008932961,0.07654709,0.002606585,0.002903108,0.1994539,0.7141625,0.00005556208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1279185,0.006081556,0.1332343,0.0213246,0.0009428212,0.0001700598,0.00003071019,0.0005573366,0.7097401],"genre_scores_gemma":[0.900722,0.00230817,0.04086141,0.001690756,0.0001317616,0.0001795517,0.00002155338,0.0003732511,0.05371162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01223117,"threshold_uncertainty_score":0.03380871,"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."}}