{"id":"W6930756577","doi":"10.5281/zenodo.14812259","title":"Spilogona lapponica","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thicket; Genus; Seta; Population","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":[0.0000496933,0.0006140507,0.0001660765,0.0007115578,0.0005539155,0.0002477515,0.0003146104,0.0002722867,0.01987596],"category_scores_gemma":[0.0001878264,0.0001294053,0.000127729,0.0002913362,0.000280188,0.0005876902,0.0005054564,0.0002720493,0.004572534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720265,"about_ca_system_score_gemma":0.0002019162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003285582,"about_ca_topic_score_gemma":0.005845692,"domain_scores_codex":[0.9999611,0.0000040361,0.00000296284,0.00001661314,0.000008704326,0.000006533331],"domain_scores_gemma":[0.9999607,0.000007477015,0.000009718156,0.000003682248,0.00001248155,0.000005942618],"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":[0.0004212505,0.0001414349,0.0288849,0.001698951,0.00004597967,0.006075455,0.001737169,0.001111426,0.08074641,0.004159927,0.02974588,0.8452313],"study_design_scores_gemma":[0.0001884023,0.0007942562,0.3068419,0.001056656,0.0001072288,0.01818789,0.003180731,0.001813461,0.00704053,0.004517782,0.6562108,0.00006036925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5325392,0.0159914,0.006293296,0.0007809277,0.0004259777,0.0004548019,0.003104643,0.001016304,0.4393936],"genre_scores_gemma":[0.9716703,0.002098234,0.002437828,0.0004815589,0.00006411827,0.00009776095,0.001324295,0.00002264523,0.0218033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01987596,"threshold_uncertainty_score":0.06649178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503748393969061,"score_gpt":0.2655876922473093,"score_spread":0.2505502083076186,"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."}}