{"id":"W2406459529","doi":"10.5430/bmr.v5n2p19","title":"Crowdsourcing and Stochastic Modeling","year":2016,"lang":"en","type":"article","venue":"Business and Management Research","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Popularity; Context (archaeology); Data science; Meaning (existential); Computer science; Interpretation (philosophy); Epistemology; Psychology; World Wide Web; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083358,0.0001095915,0.0001171174,0.0003062267,0.0004068995,0.0004205249,0.0002814676,0.00003447676,0.000003969024],"category_scores_gemma":[0.00006059291,0.00007442256,0.00001340306,0.0004843163,0.0001079497,0.0003376171,0.0009462255,0.00008327172,0.00001208498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002495622,"about_ca_system_score_gemma":0.00001589261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008322961,"about_ca_topic_score_gemma":0.00000787579,"domain_scores_codex":[0.9984984,0.00006416621,0.0001360187,0.0004755275,0.0003798648,0.0004459865],"domain_scores_gemma":[0.9991789,0.0001145373,0.00001960959,0.0003975692,0.000181375,0.0001080135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001715113,0.00003949912,0.000232367,0.0002771115,0.00003264343,0.0000739364,0.000352683,0.001479654,0.001951429,0.1510653,0.0005567129,0.8439215],"study_design_scores_gemma":[0.002502372,0.0001070793,0.01304469,0.001847508,0.00002796593,0.0001143903,0.0006227444,0.9376742,0.000232313,0.03345612,0.009483936,0.000886723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1297761,0.0003657963,0.8653884,0.002475914,0.00006806847,0.0001912714,2.559993e-7,0.00008574837,0.001648467],"genre_scores_gemma":[0.9940907,0.0004241241,0.004120943,0.00004394848,0.00005344221,0.00002408532,2.00578e-7,0.00001087232,0.001231685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9361945,"threshold_uncertainty_score":0.4055131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0559757417807373,"score_gpt":0.3027313223759831,"score_spread":0.2467555805952458,"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."}}