{"id":"W7030491173","doi":"","title":"Negotiating Ecological Intersectionality: Environmental Calamity, Sustainability and EcoArtt","year":2023,"lang":"en","type":"other","venue":"UEL Research Repository (University of East London)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Sustainability; Population; Order (exchange); Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006160517,0.0005189657,0.0005261023,0.002104215,0.01919222,0.01988388,0.001860777,0.002809366,0.01182939],"category_scores_gemma":[0.005334186,0.0003903511,0.0005801589,0.002334299,0.05701417,0.01657103,0.02010334,0.004660966,0.00072676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01122548,"about_ca_system_score_gemma":0.009277514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02986911,"about_ca_topic_score_gemma":0.0557099,"domain_scores_codex":[0.9953274,0.002516716,0.0000864024,0.0003643336,0.0007654445,0.0009397806],"domain_scores_gemma":[0.9967092,0.001578888,0.0003225908,0.0003436117,0.0004252783,0.0006204518],"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":[0.00004844558,0.00004239473,0.0026499,0.0002068397,0.00001616037,0.000926399,0.316042,0.0004713896,0.0005383777,0.6391831,0.006389974,0.03348494],"study_design_scores_gemma":[0.000006198527,0.00002832659,0.003543087,0.0004924992,0.00001615547,0.0005468525,0.5007541,0.0005006773,0.0006613811,0.1739214,0.3194886,0.00004070394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1521508,0.006741982,0.03629511,0.03987523,0.0008117579,0.0001125336,0.00008335103,0.0001860627,0.7637432],"genre_scores_gemma":[0.9611064,0.002269522,0.006045465,0.001547111,0.0001254076,0.0000850988,0.00004553047,0.0001240566,0.02865134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02986911,"threshold_uncertainty_score":0.08144695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540462963957489,"score_gpt":0.257821697861317,"score_spread":0.2324170682217422,"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."}}