{"id":"W4319953071","doi":"10.17760/d20467224","title":"Artificial intelligence tools to promote social good in gig markets","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Crowdsourcing; Reputation; Audit; Plug-in; Computer science; Artificial intelligence; World Wide Web; Economics; Management","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":[0.000758074,0.0003035356,0.0003634645,0.0003865306,0.0003199598,0.0005828112,0.001113848,0.0002021534,0.0004165677],"category_scores_gemma":[0.0001311465,0.0003334131,0.0001336075,0.001032816,0.00001291298,0.0002393821,0.000240278,0.0005869382,0.0001196727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886354,"about_ca_system_score_gemma":0.0002522776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291479,"about_ca_topic_score_gemma":0.0008365335,"domain_scores_codex":[0.9973677,0.0001405088,0.0005818132,0.0008462897,0.0005698837,0.0004937729],"domain_scores_gemma":[0.9990832,0.00009184451,0.0001550923,0.0004886842,0.00008024665,0.000100951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004626327,0.0001002069,0.000009088888,0.00005063971,0.00001225596,0.00006750129,0.008579558,0.0001110629,0.001064701,0.03110798,0.000901974,0.9579487],"study_design_scores_gemma":[0.0009442431,0.002600312,0.04560328,0.002558405,0.0002379511,0.0002272544,0.05182305,0.1513522,0.2802192,0.1611461,0.2864491,0.01683901],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6822748,0.0001731565,0.1318355,0.00250266,0.007557012,0.002552147,0.00002642963,0.001040713,0.1720376],"genre_scores_gemma":[0.9639828,0.000006364856,0.01433845,0.0004731815,0.0003928606,0.0002362105,0.0001921259,0.00006839832,0.0203096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9411098,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042005530853875,"score_gpt":0.2955165146230176,"score_spread":0.2650964593144788,"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."}}