{"id":"W3177956955","doi":"10.14236/ewic/eva2021.0","title":"EVA London 2021 - Index","year":2021,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000734175,0.00151676,0.001191859,0.002152645,0.00130836,0.01218042,0.00158076,0.003556588,0.8695821],"category_scores_gemma":[0.003704797,0.0005694936,0.000652254,0.003089047,0.000783304,0.005326844,0.004328166,0.002330958,0.8655692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002110899,"about_ca_system_score_gemma":0.002204648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002387775,"about_ca_topic_score_gemma":0.004247061,"domain_scores_codex":[0.9986693,0.0001574229,0.0001118759,0.0002917558,0.0006143873,0.0001551961],"domain_scores_gemma":[0.9979417,0.0002918804,0.0001692218,0.0003481637,0.0006260709,0.0006229632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003983053,0.0000144542,0.00006349053,0.0003412552,0.000003088024,0.00007812292,0.00004109602,0.00005811568,0.000285906,0.005773879,0.9401872,0.05311352],"study_design_scores_gemma":[0.00000232709,0.000005130099,0.00007184575,0.00006709065,4.904611e-7,0.00003814946,0.00002170234,0.00001026555,0.00004047359,0.0003141004,0.999426,0.000002482259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000265166,0.003359947,0.0004169703,0.002411105,0.003630529,0.00006016653,0.004270714,0.001131323,0.9844541],"genre_scores_gemma":[0.0009363204,0.001302119,0.0002106963,0.0006239988,0.0002533216,0.00004357316,0.002254002,0.0006591139,0.993717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1304179,"threshold_uncertainty_score":0.1860253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04790901841533868,"score_gpt":0.3596994618734922,"score_spread":0.3117904434581535,"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."}}