{"id":"W2788372920","doi":"10.5539/ibr.v11n4p1","title":"Research on Mission Pricing of Crowdsourcing APP","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Task (project management); Computer science; Cluster analysis; Order (exchange); Focus (optics); Pricing strategies; Operations research; Data science; Business; Marketing; Economics; Machine learning; World Wide Web; Finance; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004409146,0.001008298,0.001167952,0.002172452,0.001386463,0.003252516,0.002540743,0.001646061,0.003356655],"category_scores_gemma":[0.02767414,0.0006209104,0.001427231,0.002672169,0.001515094,0.008007311,0.001280292,0.002173483,0.0004350436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004418399,"about_ca_system_score_gemma":0.002711029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01314985,"about_ca_topic_score_gemma":0.005195588,"domain_scores_codex":[0.9952977,0.001621034,0.0001777789,0.000858519,0.001447051,0.0005979062],"domain_scores_gemma":[0.9885076,0.006704613,0.0009132423,0.000963885,0.002413126,0.0004975396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004186877,0.0007610316,0.03729283,0.001059842,0.0003795126,0.0007532139,0.001936805,0.2967883,0.007740351,0.388414,0.01328391,0.2511715],"study_design_scores_gemma":[0.00002473747,0.0001299726,0.01054547,0.00009198548,0.0001157286,0.0002467335,0.001276344,0.8589976,0.001980926,0.1167625,0.009722036,0.0001059646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4174446,0.008730425,0.5205098,0.007442244,0.001067605,0.0006096112,0.0006061394,0.0005531157,0.04303636],"genre_scores_gemma":[0.9749286,0.001891152,0.01693352,0.0002929364,0.0002701255,0.0001464552,0.0001724111,0.00006912379,0.005295738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01314985,"threshold_uncertainty_score":0.03205788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232688237901296,"score_gpt":0.429389294090382,"score_spread":0.3061204703002524,"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."}}