{"id":"W2806047388","doi":"10.1007/978-3-319-92898-2_15","title":"Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Crowdsourcing; Repurposing; User-generated content; Quality (philosophy); Dimension (graph theory); Task (project management); Computer science; Diversity (politics); Data science; Construct (python library); World Wide Web; Social media; Sociology; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002007781,0.0003809128,0.0005049832,0.0007286096,0.0002672669,0.0008932641,0.001116752,0.0004549371,0.00001684306],"category_scores_gemma":[0.001989867,0.0003099132,0.00007558572,0.001332459,0.0001369399,0.006571992,0.0001633728,0.0005724914,0.00001510245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042766,"about_ca_system_score_gemma":0.0005868772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007664254,"about_ca_topic_score_gemma":0.00005949424,"domain_scores_codex":[0.9967189,0.00005952128,0.002007663,0.0002401567,0.0006388597,0.0003349208],"domain_scores_gemma":[0.9938782,0.0004818322,0.00198298,0.000640003,0.002989837,0.00002710403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003152756,0.0001015809,0.00101578,0.004770234,0.00008203152,0.000002553609,0.07651296,0.06462136,0.0004598489,0.09497394,0.0005869849,0.7565575],"study_design_scores_gemma":[0.0168744,0.0008165071,0.01681243,0.02330923,0.0002816054,0.0001924712,0.002368908,0.3459194,0.04090662,0.2037501,0.3399328,0.008835498],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001023109,0.0000817863,0.9924372,0.001112158,0.0002342736,0.001319933,0.00002753894,0.0001152959,0.003648713],"genre_scores_gemma":[0.5510439,0.00003282958,0.4387857,0.007358931,0.0002925319,0.0004784127,0.001570301,0.00007193103,0.0003655091],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.747722,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04789627307162747,"score_gpt":0.2808785483750839,"score_spread":0.2329822753034564,"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."}}