{"id":"W1598123407","doi":"10.22621/cfn.v129i1.1671","title":"Mass mortality of Northern Map Turtles (<em>Graptemys geographica</em>)","year":2015,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"Government of Ontario; Ministry of Natural Resources","keywords":"Predation; Geography; Shore; Population; Demography; Population decline; Cause of death; Ecology; Zoology; Biology; Fishery; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001441187,0.0003026088,0.0001422782,0.0005013499,0.0006599221,0.0002818529,0.0003018982,0.0002255559,0.001072284],"category_scores_gemma":[0.0002885154,0.0001011431,0.0001431901,0.0002489782,0.0004083065,0.000163372,0.0003778902,0.0001475185,0.000319063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509628,"about_ca_system_score_gemma":0.0005203402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2612999,"about_ca_topic_score_gemma":0.627594,"domain_scores_codex":[0.999882,0.00001085891,0.000007000776,0.00002191431,0.00004131224,0.00003688958],"domain_scores_gemma":[0.9996592,0.00002276131,0.0001228298,0.00001911729,0.00008892643,0.00008718781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000123286,0.00003570316,0.9864554,0.00002434835,0.00002964911,0.001069771,0.0009620339,0.00007617227,0.00418589,0.00001118751,0.000611189,0.006415471],"study_design_scores_gemma":[0.000001015658,0.00009437408,0.9987198,0.00000297572,0.000005720161,0.0003361019,0.0002973402,0.00002850654,0.0001905328,0.000003794468,0.0003173016,0.000002572252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991822,0.00009050234,0.00003657169,0.00001721086,0.000002813326,0.000004454498,0.0002002094,0.000005298107,0.0004607307],"genre_scores_gemma":[0.9987124,0.0001139365,0.00008660725,0.00002155934,0.000003816101,0.000005578413,0.0002620311,0.000001059887,0.0007930807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7387002,"threshold_uncertainty_score":0.5195579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832831286278403,"score_gpt":0.2209431847683177,"score_spread":0.2026148719055337,"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."}}