{"id":"W1821479075","doi":"10.1111/cobi.12627","title":"Design principles for engaging and retaining virtual citizen scientists","year":2015,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Regina","funders":"Arizona State University","keywords":"Usability; The Internet; Context (archaeology); Citizen science; Psychology; Sample (material); Knowledge management; Public relations; Applied psychology; Medical education; Computer science; World Wide Web; Political science; Medicine; Geography","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":[0.06587078,0.001241817,0.0004417479,0.002528248,0.004015687,0.006483909,0.003092244,0.003516292,0.003519872],"category_scores_gemma":[0.07236584,0.001344591,0.0009422443,0.001132641,0.008203014,0.005984955,0.006394922,0.002219538,0.002129781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425728,"about_ca_system_score_gemma":0.007909645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008428624,"about_ca_topic_score_gemma":0.001750751,"domain_scores_codex":[0.9131269,0.0676574,0.004350955,0.003483886,0.008813222,0.002567689],"domain_scores_gemma":[0.9325382,0.03042026,0.008017619,0.0110918,0.01310173,0.004830396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001006049,0.004787019,0.04451245,0.005027497,0.0001774351,0.001426116,0.2127532,0.008143174,0.03451151,0.2845984,0.01815125,0.3849059],"study_design_scores_gemma":[0.002317765,0.01330392,0.02751089,0.003212098,0.0005671722,0.003196327,0.09803805,0.01853002,0.03497813,0.2046746,0.5931087,0.0005623014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1998448,0.0004755329,0.7120996,0.01108058,0.0003752019,0.02948591,0.0001626315,0.001073641,0.04540213],"genre_scores_gemma":[0.2738,0.0002723945,0.6848661,0.002072392,0.00008551872,0.03188854,0.0001111959,0.0001731436,0.006730731],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06587078,"threshold_uncertainty_score":0.3483621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2065437998923202,"score_gpt":0.3101007624584816,"score_spread":0.1035569625661615,"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."}}