{"id":"W4248404129","doi":"10.1007/978-1-4939-7131-2_100622","title":"Malicious Crowdsourcing","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Crowdsourcing; Computer science; World Wide Web","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003310455,0.0004957541,0.0004585751,0.0002541594,0.0002561568,0.0004696428,0.001222705,0.0004335568,0.001428336],"category_scores_gemma":[0.00002111846,0.0004633468,0.0002573843,0.00005655123,0.0001479667,0.0001879962,0.0006019249,0.0004263557,0.003573126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009276607,"about_ca_system_score_gemma":0.0001099196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001987902,"about_ca_topic_score_gemma":0.00001743586,"domain_scores_codex":[0.9976835,0.00001774931,0.0004319468,0.0009181558,0.0004673856,0.0004813092],"domain_scores_gemma":[0.9975656,0.00008877821,0.000235196,0.001723137,0.0001891575,0.0001980776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003615948,0.00001206483,0.000003803313,0.00004755902,0.00008962458,0.0001887854,0.0006844749,0.00001945101,0.0001612441,0.8378105,0.1176828,0.04329606],"study_design_scores_gemma":[0.0001827804,0.000114788,0.000004702476,0.000310138,0.00003212775,0.0002541461,0.000009909727,0.003933192,0.0007051378,0.05801953,0.9354988,0.0009347756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005017953,0.0002343104,0.1684121,0.0002302474,0.0007844768,0.0001401197,0.000001917222,0.0007960908,0.8293506],"genre_scores_gemma":[0.004125667,0.00002365507,0.01871869,0.001025561,0.0008410531,0.000003294536,0.000005139403,0.00008571207,0.9751712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.817816,"threshold_uncertainty_score":0.9997818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495782933560329,"score_gpt":0.2120583039796725,"score_spread":0.1971004746440692,"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."}}