{"id":"W6968541781","doi":"10.5281/zenodo.6194004","title":"Hydrotaea barkalovi Sorokina & Pont, 2011, sp. nov.","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Holotype; Paratype; Femur; Genus","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":[0.0001196633,0.001256769,0.0003972655,0.001685466,0.00149131,0.0007887663,0.0008052645,0.0006144801,0.006995612],"category_scores_gemma":[0.0005514023,0.0004038748,0.0002183386,0.0009250945,0.000633468,0.002118865,0.0009097981,0.0009145622,0.003666115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804726,"about_ca_system_score_gemma":0.0005121068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009019649,"about_ca_topic_score_gemma":0.01456672,"domain_scores_codex":[0.9998093,0.00001183269,0.00002016413,0.00007890246,0.00004445643,0.00003534182],"domain_scores_gemma":[0.999816,0.00003435481,0.00006125389,0.0000185427,0.00004383521,0.00002602788],"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":[0.000563433,0.0003079066,0.0565046,0.004286002,0.0002707904,0.008391625,0.004684396,0.002026295,0.06543884,0.00218051,0.02425874,0.8310869],"study_design_scores_gemma":[0.0002191768,0.0003849968,0.5629178,0.001709775,0.0005575607,0.02412309,0.007516103,0.001320492,0.008271964,0.001407549,0.3914498,0.0001216337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.551404,0.0614422,0.01277172,0.00139668,0.002637279,0.002512078,0.01031572,0.002133447,0.355387],"genre_scores_gemma":[0.939617,0.01952653,0.009210801,0.0008421518,0.0006241217,0.0006948392,0.005772224,0.00009840247,0.02361399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009019649,"threshold_uncertainty_score":0.02340269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431094883867033,"score_gpt":0.188947742969097,"score_spread":0.1546367941304267,"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."}}