{"id":"W6930707672","doi":"10.5281/zenodo.13774458","title":"Camptomyia multinoda","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DNA barcoding; Identification (biology); Cecidomyiidae; Ninth; Taxonomy (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":[0.00008416939,0.000586127,0.0002048603,0.001276499,0.001645422,0.0005140369,0.0003927802,0.0004888314,0.02147575],"category_scores_gemma":[0.0003660647,0.0002171946,0.0001167611,0.0006886832,0.0005205579,0.0006838699,0.0008389006,0.0005671927,0.003469886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564904,"about_ca_system_score_gemma":0.0005008001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146414,"about_ca_topic_score_gemma":0.02947966,"domain_scores_codex":[0.9999022,0.000006746227,0.000009024592,0.0000388586,0.00002842544,0.00001476706],"domain_scores_gemma":[0.9999148,0.00001509103,0.00002365972,0.00001062018,0.00002169707,0.0000142036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006706242,0.000180871,0.04829677,0.001990282,0.00006129297,0.003789866,0.003275424,0.0005674653,0.0346012,0.005243771,0.05495569,0.8463668],"study_design_scores_gemma":[0.0001262218,0.0003332862,0.3754379,0.001184049,0.0001300672,0.01053593,0.004446664,0.001028286,0.004262366,0.002691727,0.599745,0.00007851505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5243942,0.00731112,0.003735467,0.001239566,0.0008906283,0.0008431816,0.006355993,0.0006421381,0.4545877],"genre_scores_gemma":[0.9508011,0.003048489,0.005588718,0.0007419637,0.0001891274,0.0003098367,0.002948623,0.00003711195,0.03633496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147575,"threshold_uncertainty_score":0.07184356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879992078757625,"score_gpt":0.2355152011800376,"score_spread":0.2167152803924614,"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."}}