{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004351582,0.00005708476,0.00004852792,0.0002363044,0.0003209707,0.00008866391,0.0001194805,0.00002320876,0.0002429837],"category_scores_gemma":[0.00002445796,0.00005681049,0.00001539487,0.0008805734,0.00007341782,0.0002388176,0.00004261918,0.00006356593,0.0005456117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891449,"about_ca_system_score_gemma":0.0001381708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004522006,"about_ca_topic_score_gemma":0.0002544014,"domain_scores_codex":[0.9992999,0.00003965131,0.000062446,0.0003041609,0.0001550582,0.0001387167],"domain_scores_gemma":[0.9996653,0.00006227123,0.00002205631,0.0001069381,0.00006823038,0.00007517051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002425535,0.0003994458,0.8915438,0.00002136074,0.00004898894,0.00455613,0.05770623,0.00005412005,0.003046077,0.01287758,0.02203445,0.007469259],"study_design_scores_gemma":[0.0005272962,0.0007640685,0.8632502,0.00008003221,0.00008822694,0.000631074,0.1271706,0.0008074935,0.0001732714,0.0001850138,0.005960273,0.0003624427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961745,0.000005960651,0.000326982,0.0007681929,0.0007874926,0.0002835206,0.00001128074,0.00005455202,0.001587581],"genre_scores_gemma":[0.9985109,3.41282e-7,0.0001701249,0.00024703,0.00003669946,0.000001126889,0.000002352884,0.000001573016,0.001029855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0694644,"threshold_uncertainty_score":0.7012916,"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."}}