{"id":"W7099021800","doi":"","title":"Demo Abstract: Extrapolation from Participatory Sensing Data","year":2016,"lang":"en","type":"article","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Participatory sensing; Missing data; Extrapolation; Citizen journalism; Work (physics); Participatory evaluation; Citizen science; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001749071,0.0006861296,0.0004553014,0.0009972326,0.0006719038,0.0009231058,0.001168576,0.0007178604,0.01133224],"category_scores_gemma":[0.003973279,0.0003328114,0.0006020158,0.001049109,0.0004401422,0.001580922,0.002511804,0.001052847,0.002501598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709139,"about_ca_system_score_gemma":0.0006263938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004814527,"about_ca_topic_score_gemma":0.008538008,"domain_scores_codex":[0.9992765,0.0002310373,0.00004295178,0.0001834913,0.00021401,0.00005191034],"domain_scores_gemma":[0.9982016,0.0007239286,0.00009948789,0.0005297806,0.0003071895,0.0001379173],"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":[0.001310204,0.0003593033,0.03084539,0.001390205,0.0003385714,0.001877082,0.002685601,0.2396607,0.01968112,0.0242833,0.1437168,0.5338516],"study_design_scores_gemma":[0.00009429058,0.0002229982,0.008708346,0.0002415951,0.00005817346,0.0005780635,0.001036605,0.7953525,0.01714693,0.03921505,0.137226,0.0001195868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04792826,0.0003427342,0.853645,0.00254333,0.000536272,0.0009747485,0.03413858,0.02441656,0.03547463],"genre_scores_gemma":[0.48934,0.0003571921,0.4733332,0.000551265,0.0001433158,0.000996229,0.02257621,0.0006702553,0.0120323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01133224,"threshold_uncertainty_score":0.0379101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1810228781789464,"score_gpt":0.2787431136858095,"score_spread":0.09772023550686301,"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."}}