{"id":"W6931879763","doi":"10.5281/zenodo.7277086","title":"Nanotermitodius andersoni Skelley, Smith, & Mora-Aguilar 2022, new species","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Holotype; Allotype; Litter; Plant litter; Hardwood","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":[0.0001990032,0.0008774223,0.0004676134,0.002040591,0.002317451,0.0005997748,0.0008488719,0.0007567605,0.01110505],"category_scores_gemma":[0.0004731629,0.0003895976,0.0002478557,0.001537531,0.001025867,0.001652654,0.001217578,0.001093075,0.004253714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029428,"about_ca_system_score_gemma":0.001079496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757979,"about_ca_topic_score_gemma":0.04514324,"domain_scores_codex":[0.9997705,0.00001565297,0.00001913407,0.0000712497,0.00009877796,0.00002469409],"domain_scores_gemma":[0.9997597,0.00004039278,0.00007708579,0.00002693605,0.00005698441,0.00003881803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000728171,0.0001804568,0.05678939,0.001349333,0.0001954705,0.003770503,0.004485327,0.001817222,0.01878554,0.0107211,0.11172,0.7894576],"study_design_scores_gemma":[0.0001414161,0.000204858,0.2340801,0.001145039,0.0002754159,0.010994,0.002668242,0.001442109,0.00227857,0.003400574,0.7432646,0.0001050427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3056033,0.03267081,0.01994658,0.002448689,0.002334163,0.001250339,0.01422361,0.00134352,0.6201789],"genre_scores_gemma":[0.8652611,0.01494355,0.02094679,0.001695228,0.0008758424,0.0008671134,0.006872355,0.0001638154,0.08837423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01757979,"threshold_uncertainty_score":0.03715014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04951071445963575,"score_gpt":0.2659863269572031,"score_spread":0.2164756124975674,"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."}}