{"id":"W6968110815","doi":"10.5281/zenodo.13720186","title":"Viola portulacea Leybold 1865","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Type (biology); Nomenclature; Quarter (Canadian coin)","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":[0.0001693704,0.0007486438,0.0003629811,0.001818469,0.001971227,0.0007040124,0.0006750196,0.0005142265,0.03300494],"category_scores_gemma":[0.0004362375,0.0002678827,0.000171411,0.001520224,0.0007825539,0.001408569,0.0009719604,0.0008604791,0.006568856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007246991,"about_ca_system_score_gemma":0.0003970707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006884482,"about_ca_topic_score_gemma":0.01277059,"domain_scores_codex":[0.9998567,0.00001794543,0.000008811522,0.00004606695,0.00004656084,0.00002379644],"domain_scores_gemma":[0.9998426,0.0000323141,0.00004802542,0.00001663127,0.00003256027,0.00002785155],"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":[0.0004533501,0.0002205109,0.03969964,0.001506127,0.0001288102,0.003912844,0.002972163,0.001796019,0.02116412,0.01251517,0.09060016,0.8250312],"study_design_scores_gemma":[0.00008389475,0.0001039154,0.1646083,0.0006119498,0.00005847805,0.003581888,0.001087135,0.0003961303,0.001977304,0.001899455,0.8255512,0.00004026746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.269699,0.01457813,0.006123377,0.001203963,0.001355413,0.0005844054,0.0181066,0.001231418,0.6871177],"genre_scores_gemma":[0.8808904,0.005919253,0.003783192,0.000910741,0.0005699202,0.0002719107,0.005992345,0.0002210547,0.1014413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03300494,"threshold_uncertainty_score":0.1104125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859530858557251,"score_gpt":0.2327990341613718,"score_spread":0.2142037255757993,"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."}}