{"id":"W7018078752","doi":"","title":"Citizen Science in Denmark:A national survey across research fields, institutions, and projects","year":2022,"lang":"en","type":"article","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Citizen science; Government (linguistics); Work (physics); Data collection","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003998536,0.000214043,0.0005681699,0.003266994,0.001692491,0.002034993,0.0005367264,0.00103074,0.00158692],"category_scores_gemma":[0.00529696,0.000505638,0.0005370821,0.004959119,0.0005889356,0.001246856,0.003627075,0.0004167457,0.0003860067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002716517,"about_ca_system_score_gemma":0.006541837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1609477,"about_ca_topic_score_gemma":0.278769,"domain_scores_codex":[0.9965017,0.0007670503,0.0007141299,0.0006217746,0.0008107254,0.0005845964],"domain_scores_gemma":[0.9941935,0.001514583,0.001601564,0.0004497861,0.001299964,0.0009406233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001349613,0.00007275461,0.9661853,0.0005776575,0.0001831135,0.0001757353,0.01459943,0.0003438879,0.000754268,0.0008153396,0.002897175,0.01326043],"study_design_scores_gemma":[0.000003408284,0.00003774921,0.9770601,0.0001399803,0.00003313429,0.00008810181,0.01279681,0.0001626396,0.000126362,0.0000680872,0.009470206,0.00001337687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893346,0.0009291008,0.0003058285,0.0002432631,0.00001212291,0.00004722081,0.005704507,0.00001082202,0.003412372],"genre_scores_gemma":[0.9887271,0.0009393205,0.001565082,0.0001738364,0.000004839996,0.0001114724,0.005674311,0.00001265622,0.00279146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9994633,"threshold_uncertainty_score":0.3200217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2610965704469467,"score_gpt":0.4223946116171965,"score_spread":0.1612980411702499,"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."}}