{"id":"W4402858906","doi":"10.3390/conservation4030032","title":"Using Citizen Science to Document Biodiversity on a University Campus: A Year-Long Case Study","year":2024,"lang":"en","type":"article","venue":"Conservation","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biodiversity; Citizen science; Geography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008548585,0.0004508699,0.0005032845,0.001927135,0.01781175,0.005061357,0.002552745,0.003002431,0.001952931],"category_scores_gemma":[0.01291743,0.0003567029,0.0004813076,0.003204688,0.006032316,0.003892104,0.007159117,0.003100722,0.0006256016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006962216,"about_ca_system_score_gemma":0.007513094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03786911,"about_ca_topic_score_gemma":0.1376001,"domain_scores_codex":[0.9910703,0.005515931,0.0002415819,0.0006987065,0.001199811,0.001273711],"domain_scores_gemma":[0.9822664,0.006970879,0.001402915,0.001784292,0.002731776,0.004843654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001975794,0.001658919,0.08155224,0.0007085686,0.00006286895,0.0209573,0.7264883,0.001218175,0.005226108,0.008074031,0.01653775,0.1373181],"study_design_scores_gemma":[0.00001560002,0.0004513468,0.02923688,0.0004396789,0.00002749908,0.004607559,0.835255,0.001134092,0.002823589,0.001515975,0.1243797,0.0001130424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741328,0.0007608191,0.005562369,0.00599658,0.0001201818,0.0003503142,0.0002554415,0.0001204959,0.01270104],"genre_scores_gemma":[0.9819026,0.001084743,0.00969848,0.001182333,0.00008071072,0.0002167818,0.0001630831,0.00009259921,0.005578734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03786911,"threshold_uncertainty_score":0.07529736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09708570550354971,"score_gpt":0.3605043051745124,"score_spread":0.2634185996709627,"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."}}