{"id":"W6949384125","doi":"10.5281/zenodo.14618779","title":"Bryodrilus librus","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archipelago; The arctic; Arctic; Far East; Central asia","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":[0.0001371217,0.0004745231,0.000262803,0.001427737,0.001461992,0.0003233104,0.0003262463,0.0001992333,0.01412186],"category_scores_gemma":[0.0002210738,0.0002242478,0.0001108299,0.001078672,0.0004682488,0.0004896456,0.0008410465,0.0003434617,0.0047887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499994,"about_ca_system_score_gemma":0.0003138267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005093,"about_ca_topic_score_gemma":0.04927102,"domain_scores_codex":[0.9998327,0.00001514067,0.00001623148,0.00006046654,0.00005187023,0.00002357004],"domain_scores_gemma":[0.999856,0.00001660078,0.00006853164,0.00001149191,0.00002591875,0.00002155027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006449638,0.0001761261,0.08948145,0.001063155,0.00006743272,0.001935413,0.001502904,0.0005149395,0.0286893,0.005324163,0.06259549,0.8080046],"study_design_scores_gemma":[0.00008108825,0.0001952548,0.527671,0.0003944709,0.00007046312,0.003819047,0.001119735,0.000325251,0.002659134,0.0007647427,0.4628673,0.00003249876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4740959,0.01703368,0.00639831,0.0008047473,0.0007678883,0.0005206777,0.01344542,0.001046762,0.4858866],"genre_scores_gemma":[0.9017932,0.004820099,0.006747372,0.000634888,0.0002269125,0.0001881238,0.01039163,0.00008528434,0.07511245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02005093,"threshold_uncertainty_score":0.04724234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137444078134554,"score_gpt":0.2163074853331975,"score_spread":0.194933044551852,"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."}}