{"id":"W2941174109","doi":"10.1145/3290605.3300541","title":"PledgeWork","year":2019,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Work (physics); Quality (philosophy); Computer science; Internet privacy; Psychology; Applied psychology; Public relations; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009783266,0.00004359067,0.00005406433,0.00002855292,0.00003073996,0.00009333799,0.0002828538,0.00002157444,0.000119193],"category_scores_gemma":[0.000006713926,0.00003563731,0.00002625426,0.0001594963,0.000005754736,0.0001259577,0.00009056212,0.00004779793,0.002124355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007324627,"about_ca_system_score_gemma":0.00001371985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006406764,"about_ca_topic_score_gemma":8.214661e-7,"domain_scores_codex":[0.9995518,0.00001082096,0.00005928236,0.0001632905,0.00008455986,0.0001302221],"domain_scores_gemma":[0.9994734,0.00003358323,0.00001316823,0.0004258155,0.00001786873,0.00003617856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001866611,0.00003603464,0.0110704,0.00001384989,0.00001195678,0.00001117742,0.0006517378,0.0004439913,0.00700708,0.8249114,0.01411102,0.1417295],"study_design_scores_gemma":[0.001346797,0.0002684187,0.02598478,0.0001235427,0.000006913912,0.0001568014,0.0002400917,0.4607867,0.05308716,0.026772,0.4299536,0.00127326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2250108,0.00003911654,0.505553,0.000514197,0.0006672153,0.00006853617,3.627291e-8,0.0003864892,0.2677607],"genre_scores_gemma":[0.9663059,5.787931e-7,0.02337809,0.0004557246,0.00003025448,7.618817e-7,1.066771e-7,0.000002864435,0.00982569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7981394,"threshold_uncertainty_score":0.9986526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00328954610450761,"score_gpt":0.181117981354002,"score_spread":0.1778284352494944,"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."}}