{"id":"W6894325792","doi":"10.5683/sp3/dcugtw","title":"Amphibian detections via eDNA and conventional methods in southern Ontario wetlands","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Energy, Northern Development and Mines; Trent University","funders":"","keywords":"Amphibian; Wetland; Environmental DNA; Larva; Waterfowl","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":[0.0007943996,0.0008194544,0.0006645239,0.003164556,0.001056704,0.0008658353,0.001390711,0.0003870254,0.01275758],"category_scores_gemma":[0.00281671,0.0005631212,0.0005424868,0.007072041,0.0004128455,0.0005075944,0.0009838669,0.0003576218,0.003386661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008999835,"about_ca_system_score_gemma":0.01032715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9465104,"about_ca_topic_score_gemma":0.9777518,"domain_scores_codex":[0.9990737,0.00004696889,0.00009558981,0.0002232335,0.0003830676,0.0001774013],"domain_scores_gemma":[0.9968748,0.0002472366,0.0007331391,0.0002486298,0.001585622,0.0003105618],"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":[0.0002569225,0.00003465584,0.1889355,0.002373172,0.0003207947,0.0001857265,0.0007409533,0.001206332,0.0006688266,0.001047787,0.7848888,0.01934056],"study_design_scores_gemma":[0.0000928723,0.00001862702,0.6494796,0.0006170128,0.0001258947,0.0001033613,0.0005864758,0.0005315063,0.0004402747,0.0002276451,0.3477261,0.00005060626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008175941,0.0002359672,0.0001175581,0.00006473423,0.00001474428,0.00002710448,0.9889194,0.00006319831,0.002381348],"genre_scores_gemma":[0.03287048,0.0004927711,0.0006659768,0.00007706224,0.00001486595,0.0001856241,0.9589582,0.00005430041,0.006680667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05348957,"threshold_uncertainty_score":0.1076091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809959641689176,"score_gpt":0.3171338785454935,"score_spread":0.2890342821286017,"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."}}