{"id":"W4288853682","doi":"10.5383/ijtee.15.02.009","title":"Holism, Collective Intelligence, Climate Change and Sustainable Cities","year":2019,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sloan School of Management, Massachusetts Institute of Technology; University of Cape Town; University of South Africa; University of Oxford; Massachusetts Institute of Technology","keywords":"Holism; Adaptation (eye); Crowdsourcing; Climate change; Vulnerability (computing); Sustainability; Argumentation theory; Collective intelligence; Business; Environmental resource management; Political science; Environmental ethics; Knowledge management; Computer science; Economics; Epistemology; Ecology; Computer security; Psychology; Law","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":[0.0005812586,0.000082204,0.0001152781,0.0001559468,0.0001092778,0.0000818081,0.0001423664,0.00003856023,0.00009197914],"category_scores_gemma":[0.00003967682,0.00007695307,0.00003355422,0.000055869,0.00008705059,0.0005287531,0.0001014751,0.000116469,0.000002278856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338404,"about_ca_system_score_gemma":0.00002219876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001974908,"about_ca_topic_score_gemma":0.000004994414,"domain_scores_codex":[0.999178,0.00003367619,0.0002120197,0.00008415485,0.0002977182,0.000194416],"domain_scores_gemma":[0.999687,0.00005399567,0.000115241,0.00003635443,0.00005744328,0.00005001128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004126508,0.000276596,0.4930197,0.0003505549,0.0005612733,0.0002358385,0.1801084,0.01725021,0.006502083,0.2773677,0.00006694614,0.02384806],"study_design_scores_gemma":[0.002165223,0.0006928255,0.6470557,0.0004479406,0.00007182174,0.0003106902,0.2855002,0.01431054,0.001486563,0.007250818,0.03957354,0.001134112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996632,0.0003476917,0.000179107,0.0003142782,0.0004713701,0.0001548309,0.000005345237,0.000008802473,0.001886618],"genre_scores_gemma":[0.9985885,0.0002220219,0.000070496,0.00004663612,0.000381367,0.000004641783,0.000001703462,0.0000089304,0.0006756846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2701168,"threshold_uncertainty_score":0.3138055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112128664669473,"score_gpt":0.2433437847337598,"score_spread":0.2321309182668125,"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."}}