{"id":"W6893244770","doi":"10.5281/zenodo.14951411","title":"Coproica lugubris","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Guelph","funders":"","keywords":"Donkey; Czech; China; Predation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00008741951,0.0007909309,0.0003011979,0.001236229,0.001483908,0.0003403896,0.0005018064,0.0002889217,0.0311517],"category_scores_gemma":[0.0002585225,0.0002023174,0.0001314643,0.0007943371,0.000497626,0.0006113805,0.0007495314,0.0002521463,0.008712451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009374982,"about_ca_system_score_gemma":0.0002927182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01480344,"about_ca_topic_score_gemma":0.03088718,"domain_scores_codex":[0.9999117,0.00001280634,0.000006472611,0.00003683706,0.00001774579,0.00001442654],"domain_scores_gemma":[0.9999224,0.000009694124,0.00003061792,0.00001005623,0.00001830738,0.000008810621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005127558,0.0001678932,0.03862647,0.001329637,0.00005778543,0.001459401,0.003292877,0.0003165122,0.02726362,0.005287366,0.05290211,0.8687836],"study_design_scores_gemma":[0.00007066385,0.0002109778,0.2355793,0.0007505575,0.00009196987,0.003331705,0.002297489,0.000328248,0.002690611,0.0008275284,0.7537928,0.00002818588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2798479,0.01927281,0.002100191,0.0005246265,0.0002591323,0.0003640037,0.00261942,0.0009366067,0.6940753],"genre_scores_gemma":[0.9280475,0.006071695,0.002178132,0.0005827337,0.0001741233,0.0002571405,0.002369245,0.00008881692,0.06023057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0311517,"threshold_uncertainty_score":0.1042129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08883097370975866,"score_gpt":0.2468545136216724,"score_spread":0.1580235399119138,"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."}}