{"id":"W7083825538","doi":"10.15468/zbg2jz","title":"Bringing Shadowdragons to light: Neurocordulia (Anisoptera: Corduliidae) systematics","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematics; Phylogenetic tree; Phylogenetics; Population; Genus; Sequence (biology); Genome","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":[0.00022607,0.0005349042,0.0004716696,0.005029313,0.0009140957,0.0007438223,0.0006847209,0.0003647834,0.01668251],"category_scores_gemma":[0.001259057,0.0002603986,0.0003260153,0.007514976,0.0004411991,0.0005891445,0.001199482,0.0005688326,0.006816091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182066,"about_ca_system_score_gemma":0.002396227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2803497,"about_ca_topic_score_gemma":0.600971,"domain_scores_codex":[0.9996288,0.000023922,0.00003569844,0.00009473314,0.0001288135,0.00008796505],"domain_scores_gemma":[0.9992564,0.00008648518,0.0001727746,0.0001060338,0.0002986744,0.00007972739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003626942,0.00004627894,0.2139729,0.004043855,0.0001926506,0.00047766,0.004414393,0.000874683,0.00871667,0.002380875,0.6156352,0.1488822],"study_design_scores_gemma":[0.00002688044,0.0000132219,0.3038552,0.0004001751,0.00008538204,0.0002710451,0.001356102,0.0004236963,0.0008616647,0.0004771229,0.6921945,0.00003500946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05846083,0.002186253,0.00104667,0.0003470492,0.00008812054,0.0000677201,0.9223039,0.0009102715,0.01458922],"genre_scores_gemma":[0.09266449,0.001642174,0.004690127,0.0001454096,0.00003151557,0.0001476287,0.8927824,0.0002466208,0.007649433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2803497,"threshold_uncertainty_score":0.5574358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1544566549673478,"score_gpt":0.4680521881292505,"score_spread":0.3135955331619027,"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."}}