{"id":"W4234149705","doi":"10.1007/978-1-4939-7131-2_100225","title":"Crowd Computing","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":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000460558,0.001099195,0.000521516,0.001629664,0.001480087,0.003703456,0.001123203,0.00132757,0.06070635],"category_scores_gemma":[0.001337008,0.0004047652,0.0003951922,0.002058855,0.00104602,0.003741416,0.0027701,0.001637498,0.03636345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434326,"about_ca_system_score_gemma":0.001170647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686218,"about_ca_topic_score_gemma":0.004154133,"domain_scores_codex":[0.9995148,0.00006033374,0.00001666398,0.0001135894,0.0002439005,0.00005070958],"domain_scores_gemma":[0.9996756,0.00007505296,0.00001090313,0.00008849482,0.00009722202,0.00005271357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002225923,0.00003452964,0.0000782631,0.0001690422,0.000007272386,0.00003719251,0.0001996632,0.001397038,0.0006758541,0.2453358,0.4140476,0.3379954],"study_design_scores_gemma":[0.000002256183,0.000004120226,0.00006904883,0.00007528218,0.000002140724,0.0000497723,0.00004841102,0.001175849,0.0003167077,0.06897374,0.9292769,0.000005684042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001183368,0.01760306,0.0908877,0.004293852,0.004917292,0.0001423535,0.0006394702,0.00183637,0.8784965],"genre_scores_gemma":[0.02376701,0.01466895,0.03221897,0.001469261,0.002533743,0.0001863803,0.00148807,0.0007814775,0.9228862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06070635,"threshold_uncertainty_score":0.203083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767574617885824,"score_gpt":0.2239865369505644,"score_spread":0.2063107907717062,"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."}}