{"id":"W4362597443","doi":"10.37256/aie.4120232503","title":"Towards Artificial Intelligence in Sustainable Environmental Development","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence Evolution","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Sustainability; Environmentally friendly; Globe; Sustainable development; Popularity; Resilience (materials science); Extreme weather; Environmental resource management; Climate change; Environmental planning; Biodiversity; Agriculture; Environmental impact assessment; Business; Natural resource economics; Engineering; Environmental science; Ecology; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006656932,0.0005841985,0.0006395223,0.001990035,0.001176402,0.007903376,0.001415089,0.003726416,0.003081454],"category_scores_gemma":[0.00726427,0.0003207304,0.0005082968,0.001990225,0.01013885,0.01175229,0.003507013,0.006607767,0.0008989546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003193978,"about_ca_system_score_gemma":0.002877609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262188,"about_ca_topic_score_gemma":0.001868616,"domain_scores_codex":[0.997126,0.001594356,0.0001522583,0.0002374552,0.0007455301,0.0001443153],"domain_scores_gemma":[0.9950818,0.003380815,0.0002061621,0.0004668155,0.0006229042,0.0002415365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008293273,0.00002091536,0.000309116,0.0001936718,0.00001662849,0.00005021767,0.0004144577,0.001807084,0.0001321379,0.9600977,0.009417203,0.02753243],"study_design_scores_gemma":[0.000004623923,0.000009447406,0.0001433842,0.0002679304,0.000005076261,0.00003892347,0.0003574824,0.002661266,0.0001187896,0.9044959,0.09188779,0.000009361977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009082469,0.148297,0.1835304,0.3401596,0.004471045,0.0001595999,0.0002127387,0.0003253646,0.3137618],"genre_scores_gemma":[0.4726051,0.1723963,0.2506914,0.04247053,0.006017528,0.0007334324,0.0003856949,0.0002095542,0.05449038],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007903376,"threshold_uncertainty_score":0.0352056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07786998916749589,"score_gpt":0.2930122406025756,"score_spread":0.2151422514350798,"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."}}