{"id":"W6968256192","doi":"10.5281/zenodo.15021034","title":"Euura nuorbinjargi","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Femur; Seta; Holotype; Tibia; Apex (geometry)","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":[0.00009100029,0.0003734094,0.000251637,0.0008633832,0.0009272521,0.0003393586,0.0003843798,0.0004169994,0.01520334],"category_scores_gemma":[0.0002524509,0.0001495384,0.0001190539,0.0003775478,0.0004653743,0.0007436855,0.001083642,0.000321401,0.003039426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750862,"about_ca_system_score_gemma":0.0001045898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242895,"about_ca_topic_score_gemma":0.002295942,"domain_scores_codex":[0.9999105,0.00001263387,0.000009175477,0.00003812143,0.00001747193,0.00001206695],"domain_scores_gemma":[0.9999657,0.00000662372,0.00001176978,0.000005492906,0.000006215997,0.000004157057],"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":[0.0004164365,0.0001596883,0.0294068,0.001089382,0.00009021623,0.003514253,0.002898225,0.0008878051,0.04391376,0.01118919,0.01323506,0.8931992],"study_design_scores_gemma":[0.00005066534,0.0003779068,0.3433104,0.0008673751,0.000172984,0.01186451,0.002046579,0.0007829242,0.004365306,0.003726681,0.6323857,0.0000489498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3438628,0.01263237,0.003576137,0.0002445315,0.0003388298,0.0001352111,0.0007577506,0.0002633538,0.638189],"genre_scores_gemma":[0.9453241,0.003435365,0.003624628,0.0002639045,0.0001100696,0.00009225224,0.001308858,0.00003400944,0.04580669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01520334,"threshold_uncertainty_score":0.05086017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936036975778009,"score_gpt":0.237759006001206,"score_spread":0.2183986362434259,"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."}}