{"id":"W2611611834","doi":"10.1145/3025453.3025850","title":"Building with Data","year":2017,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Architecture; Process (computing); Data modeling; Data science; Architectural design; Data visualization; Visualization; Design process; Software engineering; Scale (ratio); Work in process; Data mining; Engineering; Programming language","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":[0.004661115,0.001282532,0.0008248436,0.002542917,0.002585879,0.008566783,0.002918187,0.001643918,0.03174032],"category_scores_gemma":[0.01451106,0.0008974929,0.002205974,0.004264742,0.003552305,0.01523698,0.01304679,0.002675045,0.01110076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194836,"about_ca_system_score_gemma":0.00255246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341001,"about_ca_topic_score_gemma":0.005208345,"domain_scores_codex":[0.9957219,0.001471544,0.0002857641,0.0009766667,0.001319898,0.0002242088],"domain_scores_gemma":[0.9904764,0.002335179,0.0002740724,0.005964359,0.0006164678,0.0003335813],"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":[0.00009700845,0.0001037595,0.004248345,0.0007654109,0.0001716831,0.0006516055,0.004262394,0.01401263,0.001864522,0.6759823,0.05404354,0.2437968],"study_design_scores_gemma":[0.00001578197,0.00003970012,0.0005982105,0.0003665495,0.00005481355,0.0003811803,0.001386841,0.009437033,0.001860113,0.2692785,0.7165295,0.00005178015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01156912,0.002304193,0.8464255,0.01064418,0.001008552,0.0003497789,0.004319648,0.006500571,0.1168784],"genre_scores_gemma":[0.1706192,0.004475897,0.7650406,0.002894675,0.0003705489,0.0005469837,0.01483232,0.003381111,0.03783874],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03174032,"threshold_uncertainty_score":0.106182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09818789804779413,"score_gpt":0.3817320511922178,"score_spread":0.2835441531444237,"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."}}