{"id":"W4213022622","doi":"10.1093/ornithapp/duac008","title":"Highly specialized recreationists contribute the most to the citizen science project eBird","year":2022,"lang":"en","type":"article","venue":"Ornithological applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Environment and Climate Change Canada; University of Alberta; Government of Ontario","keywords":"Citizen science; Recreation; Checklist; TRIPS architecture; Scale (ratio); Geography; Psychology; Ecology; Computer science; Cartography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009065295,0.0001091122,0.0001006062,0.00002582937,0.003625205,0.0001519041,0.001135147,0.00002449077,0.02736397],"category_scores_gemma":[0.0001582849,0.00006087591,0.00004876525,0.002192884,0.0009261268,0.00005660839,0.0009432687,0.0002027646,0.002407214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006302505,"about_ca_system_score_gemma":0.00003826466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003352526,"about_ca_topic_score_gemma":0.00009416188,"domain_scores_codex":[0.9983591,0.0001296456,0.000190833,0.0003983725,0.000580252,0.0003417614],"domain_scores_gemma":[0.9991317,0.0001302766,0.00008215289,0.0005296227,0.00003537797,0.00009083565],"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":[0.0001907771,0.0009509559,0.03306166,0.000004282018,0.00002330716,0.00001071982,0.001654073,0.000663359,0.02833822,0.1791789,0.7284037,0.02752002],"study_design_scores_gemma":[0.0001418352,0.00004761674,0.1084956,3.875682e-7,0.000008717008,0.00002303505,0.001113991,0.000009226273,0.0002434776,0.0007686215,0.8890496,0.00009781566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3935194,0.00009676554,0.008038903,0.1340153,0.0003648346,0.007781514,0.001892935,0.0005220154,0.4537683],"genre_scores_gemma":[0.9838287,0.00002727463,0.0002476401,0.00600313,0.00009681241,0.006457679,0.0001414669,0.000009542025,0.003187769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5903093,"threshold_uncertainty_score":0.9983695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629798332674991,"score_gpt":0.2918474834526598,"score_spread":0.2555495001259099,"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."}}