{"id":"W6912619937","doi":"10.5281/zenodo.6071909","title":"Deinopteroloma emeicola Shavrin & Smetana, sp.n.","year":2016,"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":"","funders":"","keywords":"Holotype; Aedeagus; Apex (geometry); Type (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001096552,0.0006397387,0.0003828757,0.001508272,0.001400353,0.0003725682,0.0005594077,0.0004655329,0.008687669],"category_scores_gemma":[0.0002135495,0.0002358395,0.000219621,0.0009150243,0.0006389563,0.0009311657,0.0007536932,0.0006472795,0.002806308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005427555,"about_ca_system_score_gemma":0.0003287977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008661824,"about_ca_topic_score_gemma":0.02687135,"domain_scores_codex":[0.9998894,0.00001108365,0.00001060576,0.00005020308,0.00002865681,0.0000100674],"domain_scores_gemma":[0.9998999,0.00001772423,0.0000357072,0.00001110382,0.000024154,0.00001138415],"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":[0.0006996164,0.0001660594,0.04079338,0.001942669,0.0001958639,0.004650385,0.004070165,0.001638535,0.06611405,0.006664149,0.02120641,0.8518588],"study_design_scores_gemma":[0.0001618168,0.000177233,0.4840786,0.0005209347,0.0002752174,0.01148796,0.003178968,0.0007394624,0.005062469,0.002057271,0.4922091,0.00005110238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4642208,0.02430705,0.006870328,0.001050699,0.0007646944,0.0006255526,0.005770384,0.0005103479,0.4958802],"genre_scores_gemma":[0.9522627,0.005121157,0.004101603,0.0004667046,0.0001906019,0.0001770788,0.002528867,0.00005415706,0.03509708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008687669,"threshold_uncertainty_score":0.02906317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494405350994919,"score_gpt":0.2241651244806558,"score_spread":0.1892210709707066,"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."}}