{"id":"W6911843774","doi":"10.5281/zenodo.15149407","title":"Sclerocoelus subbrevipennis","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Seta; Holotype; Waves and shallow water; Single specimen; Group (periodic table)","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":[0.00008137626,0.0005426839,0.000248077,0.001568491,0.0006571133,0.0001984495,0.0003609126,0.0003089599,0.01348306],"category_scores_gemma":[0.0003485591,0.0001791203,0.00009535952,0.0006346881,0.0004437345,0.0004324564,0.0006853199,0.0002821513,0.00421569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004836362,"about_ca_system_score_gemma":0.0003115162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009571914,"about_ca_topic_score_gemma":0.01481619,"domain_scores_codex":[0.9998938,0.00001311602,0.000009184587,0.00003189951,0.00003717648,0.00001485766],"domain_scores_gemma":[0.9998437,0.00002095698,0.00006753116,0.00001535844,0.00003300179,0.00001929293],"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":[0.0007959502,0.0002017354,0.08374514,0.0008905935,0.00006266056,0.004398342,0.003049487,0.0008523693,0.1671564,0.003998842,0.0116792,0.7231693],"study_design_scores_gemma":[0.00006969093,0.0006238949,0.8379263,0.0004574215,0.00006290061,0.0153735,0.001329827,0.0006233049,0.01235296,0.0008768917,0.1302711,0.00003223206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7957446,0.004281031,0.002417095,0.0002195426,0.00009343063,0.0001418461,0.0009838965,0.0004497644,0.1956688],"genre_scores_gemma":[0.9766454,0.001134834,0.001600505,0.0001629133,0.00003422695,0.00003995465,0.0006547444,0.00001914988,0.01970835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348306,"threshold_uncertainty_score":0.04510528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224592732055813,"score_gpt":0.241639546685177,"score_spread":0.2191802734795956,"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."}}