{"id":"W4379381087","doi":"10.21428/bf6fb269.541455de","title":"Pathways to urban sustainability: Design perspectives on a data curation and visualization platform","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"McGill University","keywords":"Visualization; Sustainability; Data curation; Computer science; Data visualization; Data science; Information visualization; Human–computer interaction; Data mining; Ecology","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":[0.01422281,0.001011393,0.0007812975,0.002822084,0.003117808,0.01827691,0.003233697,0.002669222,0.02479834],"category_scores_gemma":[0.02202549,0.001045355,0.0011928,0.002635769,0.004777301,0.00953659,0.01100558,0.002574641,0.005351595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350446,"about_ca_system_score_gemma":0.004589803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006538509,"about_ca_topic_score_gemma":0.008724097,"domain_scores_codex":[0.9914424,0.006101912,0.0003002993,0.000597447,0.001178076,0.0003798604],"domain_scores_gemma":[0.9826316,0.01096653,0.0004621038,0.002190104,0.002190098,0.001559569],"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":[0.0004697973,0.0004262183,0.00343516,0.002351473,0.0001189195,0.001152836,0.06570049,0.008683066,0.007135278,0.6382033,0.1095437,0.1627797],"study_design_scores_gemma":[0.0001379228,0.0001951058,0.001535148,0.001689839,0.00008074036,0.000479139,0.01892604,0.01497914,0.002892649,0.224627,0.7343436,0.0001137287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02568952,0.001178588,0.8224329,0.04569273,0.0005731973,0.001333561,0.00366388,0.01025299,0.08918267],"genre_scores_gemma":[0.1410602,0.001519249,0.8314417,0.002265344,0.0001911543,0.002131839,0.001652097,0.003812004,0.01592649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02479834,"threshold_uncertainty_score":0.0829587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052137212353662,"score_gpt":0.3559386514365441,"score_spread":0.2507249302011779,"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."}}