{"id":"W2988983801","doi":"10.1145/3359126","title":"The Perpetual Work Life of Crowdworkers","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Human multitasking; Fragmentation (computing); Work (physics); Scripting language; Knowledge management; World Wide Web; Computer science; Sociology; Psychology; Engineering","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":[0.003789938,0.0003292481,0.0004474276,0.001840325,0.01300244,0.006187718,0.00122293,0.001518596,0.002587344],"category_scores_gemma":[0.008251154,0.0005350301,0.0003021936,0.0009363662,0.01051293,0.003388897,0.01030766,0.001463041,0.0004617225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002082269,"about_ca_system_score_gemma":0.002882483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005896372,"about_ca_topic_score_gemma":0.01096631,"domain_scores_codex":[0.9962003,0.001893251,0.0001442741,0.0005894162,0.0006403641,0.0005324421],"domain_scores_gemma":[0.9948868,0.001670778,0.001048237,0.0005318337,0.0006085054,0.001253847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001510867,0.00008621089,0.07627503,0.000187421,0.00004031074,0.001100537,0.8678695,0.0001957528,0.00240843,0.008246205,0.00325076,0.04018879],"study_design_scores_gemma":[0.00001139137,0.0001110216,0.03881844,0.0002013824,0.00001827557,0.0007017322,0.8974013,0.0001924313,0.0002842724,0.007160528,0.0550433,0.00005586062],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772857,0.001192343,0.003218501,0.002616189,0.00009832892,0.00004515745,0.00008124838,0.00004293637,0.01541953],"genre_scores_gemma":[0.9963862,0.0003029796,0.0007006584,0.0002963992,0.00003372407,0.00004501707,0.0000356569,0.00001681844,0.002182602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300244,"threshold_uncertainty_score":0.02004331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534761186315127,"score_gpt":0.2711513648274525,"score_spread":0.2458037529643012,"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."}}