{"id":"W6968875281","doi":"10.5281/zenodo.5961917","title":"Telenomus americanus Brues","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Necator americanus; George (robot); Ridge; Type species; 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":[0.00007677146,0.0003740744,0.0001978149,0.001931677,0.0008916478,0.0003248193,0.0002933437,0.0003066091,0.06948647],"category_scores_gemma":[0.0002348909,0.000200102,0.0001173437,0.001224102,0.0003300338,0.0009640111,0.0005018469,0.0004005429,0.02502732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007861875,"about_ca_system_score_gemma":0.0004538591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02675472,"about_ca_topic_score_gemma":0.0476793,"domain_scores_codex":[0.9999015,0.000006745824,0.000009477024,0.00003737303,0.00003581909,0.000008960926],"domain_scores_gemma":[0.9998811,0.00001946375,0.00003107742,0.00001831195,0.00003674591,0.00001319403],"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":[0.0006695142,0.00009951122,0.02328186,0.001550401,0.00004182236,0.0008988869,0.001557936,0.0004644363,0.05422617,0.008207583,0.257957,0.6510448],"study_design_scores_gemma":[0.00002628594,0.0000350165,0.08556996,0.0002486462,0.00002868982,0.00114038,0.0005229239,0.0001103613,0.002478823,0.0009279285,0.9088882,0.00002285451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09320993,0.006575122,0.008368423,0.001009214,0.0008005323,0.0002775225,0.03957537,0.002975448,0.8472085],"genre_scores_gemma":[0.4613403,0.008580343,0.01953656,0.001723628,0.000429331,0.0005908633,0.04561908,0.001052103,0.4611278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06948647,"threshold_uncertainty_score":0.2324554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849319282644881,"score_gpt":0.2303820975135979,"score_spread":0.2118889046871491,"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."}}