{"id":"W6894024825","doi":"10.5281/zenodo.6050992","title":"Isochlora grumi subsp. multirosea Gyulai & Saldaitis 2017, ssp. nov.","year":2017,"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":"Subspecies; Holotype; Apex (geometry); Margin (machine learning); Paratype","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":[0.0004301544,0.001510508,0.0006539617,0.001742045,0.001068206,0.0008830925,0.001188432,0.0008021272,0.002899195],"category_scores_gemma":[0.0008209578,0.0004200073,0.0004174123,0.001532848,0.0005958541,0.001286385,0.001412251,0.001324828,0.004368434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009249873,"about_ca_system_score_gemma":0.000759453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01406611,"about_ca_topic_score_gemma":0.01817952,"domain_scores_codex":[0.9994006,0.00004522458,0.00009017024,0.0001937573,0.0001794896,0.00009061679],"domain_scores_gemma":[0.9995118,0.00005811282,0.0001223062,0.00009656679,0.0001336998,0.00007758524],"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":[0.001081925,0.0005770937,0.1013283,0.002355153,0.0004516685,0.01007505,0.003506078,0.002797396,0.2913454,0.004522881,0.02970282,0.5522563],"study_design_scores_gemma":[0.0002217714,0.0006977891,0.6099553,0.001297404,0.0004865373,0.01672031,0.003850066,0.001668716,0.02448312,0.00240603,0.3379848,0.0002282221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6714135,0.0176805,0.01998668,0.001126595,0.002434754,0.002321863,0.02091869,0.001493599,0.2626238],"genre_scores_gemma":[0.9353451,0.005622577,0.01444188,0.001005586,0.0002611872,0.0007997862,0.02026523,0.0001012627,0.02215749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01406611,"threshold_uncertainty_score":0.02796847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896550597864736,"score_gpt":0.2421918086449565,"score_spread":0.1932263026663091,"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."}}