{"id":"W2405546739","doi":"10.1145/2858036.2858490","title":"How One Microtask Affects Another","year":2016,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Crowds; Crowdsourcing; Workflow; Exploit; Task (project management); Human–computer interaction; Data science; Multimedia; Cognitive psychology; World Wide Web; Psychology; Computer security","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":[0.01798163,0.0007157009,0.0007139835,0.0008579664,0.001745779,0.004742042,0.0009605304,0.001352893,0.008147104],"category_scores_gemma":[0.1125776,0.0006072263,0.0008007681,0.0006783647,0.002931969,0.003415258,0.003398592,0.001706911,0.002194489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611738,"about_ca_system_score_gemma":0.001596934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003956546,"about_ca_topic_score_gemma":0.00480462,"domain_scores_codex":[0.9808957,0.01045095,0.0008151228,0.003756145,0.00281261,0.001269583],"domain_scores_gemma":[0.8616615,0.1056923,0.0101204,0.01136172,0.006328722,0.004835294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005970818,0.001627822,0.4510267,0.003358042,0.001331847,0.0009092573,0.0399926,0.01624413,0.09943894,0.06078336,0.01782724,0.3014892],"study_design_scores_gemma":[0.0005972685,0.002597594,0.6714289,0.0007828801,0.001343118,0.0007530514,0.02027434,0.03292027,0.03221228,0.1477468,0.08873714,0.0006064407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625203,0.001223866,0.06768613,0.004854699,0.000872865,0.0005974118,0.00100107,0.0004514587,0.06079217],"genre_scores_gemma":[0.9813746,0.0002540161,0.0123443,0.001038245,0.0001681501,0.0004411106,0.0003156985,0.0003050214,0.003758969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798163,"threshold_uncertainty_score":0.09509712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344637162871921,"score_gpt":0.1923510798770325,"score_spread":0.1789047082483133,"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."}}