{"id":"W6912638650","doi":"10.5281/zenodo.4364259","title":"Oenothera biennis Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oenothera; Onagraceae; Plant morphology; Evening primrose","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":[0.00009069691,0.0006835662,0.0002923116,0.001441344,0.000889584,0.0002142682,0.0003488922,0.0002267338,0.01834744],"category_scores_gemma":[0.0001227565,0.0001290114,0.00008479989,0.0008374813,0.000143171,0.0007782002,0.0005717981,0.0002604808,0.008242561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430896,"about_ca_system_score_gemma":0.0001519801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710254,"about_ca_topic_score_gemma":0.07633295,"domain_scores_codex":[0.9999287,0.000004778055,0.000005204704,0.00001952688,0.00002956389,0.00001218364],"domain_scores_gemma":[0.9999464,0.000005978982,0.00002014567,0.000004251183,0.00001280905,0.00001051125],"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":[0.0002890821,0.0001298417,0.04439253,0.0007012103,0.00008517184,0.0005998342,0.001084869,0.0004383481,0.04843308,0.003560663,0.07678218,0.8235033],"study_design_scores_gemma":[0.00002392943,0.000119657,0.229343,0.0001270678,0.00006459087,0.001171236,0.0005206411,0.0002028537,0.001612503,0.0007474312,0.7660415,0.00002569012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3184971,0.03718066,0.006287624,0.001138292,0.001422644,0.000545347,0.02690208,0.001441055,0.6065853],"genre_scores_gemma":[0.7907121,0.01436859,0.008442767,0.001446541,0.0003031117,0.0002857212,0.01572432,0.0001207985,0.1685961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01834744,"threshold_uncertainty_score":0.0613783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270093966326811,"score_gpt":0.21709722352405,"score_spread":0.1743962838607819,"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."}}