{"id":"W6967692459","doi":"10.5281/zenodo.10166925","title":"Aleochara (Coprochara) notula Erichson","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Habitat; Cow dung; Carrion; Fish <Actinopterygii>; Litter","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":[0.00007832451,0.0008961956,0.0003294205,0.001478909,0.001238174,0.0003453406,0.0004571044,0.0003801499,0.02370992],"category_scores_gemma":[0.0002007789,0.0001895751,0.0002138443,0.000645028,0.000280752,0.0006668144,0.0007686759,0.0003698268,0.009336949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000609611,"about_ca_system_score_gemma":0.0002674754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005539963,"about_ca_topic_score_gemma":0.01528251,"domain_scores_codex":[0.9998937,0.00001151757,0.000009532805,0.00004065021,0.00002113093,0.00002352095],"domain_scores_gemma":[0.9998788,0.00001504477,0.00004483879,0.00001213199,0.00002613718,0.00002306655],"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":[0.0010317,0.0003628737,0.03741997,0.001285783,0.00008537192,0.003340794,0.001534314,0.0006902061,0.08178379,0.004376903,0.02529775,0.8427905],"study_design_scores_gemma":[0.00008135507,0.0005169939,0.4206316,0.0004246779,0.000103823,0.004903937,0.001227101,0.0003368777,0.006925929,0.0007261555,0.5640851,0.00003644929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2776455,0.006951413,0.002005148,0.0003344964,0.0003972231,0.0005611909,0.004069074,0.0004298846,0.7076061],"genre_scores_gemma":[0.9082701,0.002933407,0.002875346,0.0003379766,0.0001445674,0.0002160403,0.002973648,0.00006287383,0.0821861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02370992,"threshold_uncertainty_score":0.07931757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04668427038042419,"score_gpt":0.2391428223630236,"score_spread":0.1924585519825994,"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."}}