{"id":"W3161101306","doi":"10.3390/d13050211","title":"Advancing Amphibian Conservation through Citizen Science in Urban Municipalities","year":2021,"lang":"en","type":"article","venue":"Diversity","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Conservation Association; Toronto Zoo; Mount Royal University","funders":"Enbridge; Alberta Innovates; Calgary Foundation; Alberta Ecotrust Foundation","keywords":"Citizen science; Urbanization; Biodiversity; Environmental planning; Environmental resource management; Urban ecology; Urban ecosystem; Urban planning; Green infrastructure; Habitat; Ecology; Public participation; Geography; Political science; Biology; Environmental science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002145823,0.00006007481,0.00008465147,0.00002111859,0.0003617573,0.0000137303,0.0002125691,0.0000397902,0.001131861],"category_scores_gemma":[0.0000838725,0.00006102015,0.00002498503,0.0003607512,0.0006698445,0.0003242335,0.001113264,0.00006777972,0.0001253119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399383,"about_ca_system_score_gemma":0.00003354221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468732,"about_ca_topic_score_gemma":0.003245398,"domain_scores_codex":[0.9991972,0.00004544151,0.00008261849,0.0002600478,0.0001725985,0.0002420406],"domain_scores_gemma":[0.9997069,0.00002841371,0.00003208289,0.0001713605,0.00001227196,0.00004900546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005150311,0.00002288692,0.9882762,0.00000232804,0.000001118909,0.00002937645,0.003765668,0.00004428422,0.004810781,0.0005958399,0.002129737,0.0003165601],"study_design_scores_gemma":[0.0003045034,0.00001977321,0.9786436,0.00001238723,0.000004133663,0.000007063117,0.004450715,0.0001979343,0.003961446,0.001434544,0.01081466,0.0001492623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683108,0.00002120911,0.00003328341,0.0005766578,0.0001485023,0.00004808593,0.000004623749,0.00002049288,0.03083631],"genre_scores_gemma":[0.9965446,0.00002861386,0.0006773502,0.001016213,0.00001435532,6.415231e-7,0.000005815232,0.000002028013,0.001710366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02912594,"threshold_uncertainty_score":0.9997813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873659653925669,"score_gpt":0.2358553773564655,"score_spread":0.2171187808172088,"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."}}