{"id":"W6893246946","doi":"10.5281/zenodo.15020773","title":"Euura maculosa","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Aerial photos; Denotation (semiotics); Key (lock)","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":[0.00006995911,0.0004766896,0.0001974332,0.001276749,0.001149274,0.0004936085,0.0004922501,0.0002771631,0.01980938],"category_scores_gemma":[0.0002660118,0.0001878219,0.0001635536,0.0005815953,0.0004612828,0.0008129668,0.0008970321,0.0003329879,0.0035052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006899685,"about_ca_system_score_gemma":0.0002645938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113313,"about_ca_topic_score_gemma":0.02487762,"domain_scores_codex":[0.9999216,0.000005618824,0.000005007222,0.00003214614,0.00001955567,0.00001616539],"domain_scores_gemma":[0.9999392,0.00000710018,0.00002262395,0.00001019865,0.00001456515,0.000006339033],"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":[0.0003572678,0.00009158278,0.034428,0.0005873799,0.00009768536,0.003894362,0.001580607,0.0006341604,0.05335268,0.01252609,0.01311279,0.8793374],"study_design_scores_gemma":[0.00005846135,0.0002001607,0.5645761,0.0004244861,0.0001492615,0.009824282,0.001749707,0.0006696107,0.006691313,0.002790167,0.4128213,0.00004502996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5055775,0.006795105,0.003236099,0.0002326689,0.0001911565,0.0002176528,0.001697416,0.0002980836,0.4817543],"genre_scores_gemma":[0.934581,0.001772004,0.003261782,0.0001824725,0.00004373622,0.00008887785,0.001745858,0.00004721001,0.05827699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980938,"threshold_uncertainty_score":0.06626904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447551158007726,"score_gpt":0.2680397913913626,"score_spread":0.2435642798112854,"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."}}