{"id":"W6949368730","doi":"10.5281/zenodo.15357449","title":"Dolichogenidea alerce Fernandez-Triana & Boudreault 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Parks Canada","funders":"","keywords":"Holotype; Vein; DNA barcoding; Margin (machine learning)","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":[0.0002984833,0.001257226,0.0006396277,0.002132318,0.001312779,0.0008214133,0.0009000667,0.0007224862,0.01314043],"category_scores_gemma":[0.0007256928,0.0002986393,0.0003147925,0.001582831,0.0006509347,0.00105372,0.0008479163,0.001374562,0.006645118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752996,"about_ca_system_score_gemma":0.001321015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03442861,"about_ca_topic_score_gemma":0.06921433,"domain_scores_codex":[0.9997657,0.00001477329,0.00001927381,0.00007247435,0.00007654583,0.00005126523],"domain_scores_gemma":[0.9998227,0.00001535999,0.00004773579,0.0000218352,0.00006234786,0.00003004698],"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":[0.0004399557,0.0003094129,0.05724937,0.001513032,0.0001784035,0.002400519,0.001378581,0.001125584,0.0132563,0.004494729,0.08742494,0.8302291],"study_design_scores_gemma":[0.0001984279,0.0001223938,0.2714403,0.002040134,0.0002467125,0.01056982,0.002280168,0.001117901,0.001739336,0.001511935,0.7086651,0.00006776531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2470593,0.04765705,0.01804862,0.002644285,0.003094467,0.00277402,0.03112658,0.002783073,0.6448127],"genre_scores_gemma":[0.7858788,0.02607385,0.0332674,0.003413482,0.000578672,0.001239987,0.02415607,0.0004414343,0.1249502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03442861,"threshold_uncertainty_score":0.06845641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745204463321729,"score_gpt":0.308171866703114,"score_spread":0.2807198220698967,"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."}}