{"id":"W2126943286","doi":"10.1007/11527886_43","title":"User- and Community-Adaptive Rewards Mechanism for Sustainable Online Community","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Mechanism (biology); Information overload; Quality (philosophy); Computer science; Sustainability; Online community; Business; Internet privacy; World Wide Web; Ecology; Biology","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":[0.003454297,0.0006293796,0.001372889,0.00110121,0.001866949,0.001669764,0.004362103,0.002147268,0.008266108],"category_scores_gemma":[0.01194114,0.0004682285,0.0006939301,0.001038666,0.001091186,0.003398264,0.003652976,0.001954584,0.0009426608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463999,"about_ca_system_score_gemma":0.002275559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242306,"about_ca_topic_score_gemma":0.003051593,"domain_scores_codex":[0.998287,0.000569813,0.00007204543,0.0003617796,0.0004036947,0.0003057418],"domain_scores_gemma":[0.9923297,0.003698793,0.0004191146,0.001209217,0.00125909,0.001084076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00156554,0.00175753,0.00367155,0.000314118,0.0002166442,0.0004600125,0.0009760399,0.2806108,0.01850646,0.4326658,0.02256843,0.2366871],"study_design_scores_gemma":[0.0001172311,0.0001236941,0.000453766,0.00001064546,0.00003094375,0.0001144714,0.0000816196,0.9064311,0.001719335,0.08864848,0.0022314,0.00003728794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09582869,0.0001788883,0.8919678,0.001062905,0.0001672698,0.0004404291,0.000216597,0.001533118,0.008604269],"genre_scores_gemma":[0.8998985,0.00007541093,0.0884001,0.0001289433,0.00008226426,0.0002773685,0.00009632509,0.00008243665,0.01095857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008266108,"threshold_uncertainty_score":0.02765292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396389644010748,"score_gpt":0.2568998820857307,"score_spread":0.2329359856456232,"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."}}