{"id":"W6912636818","doi":"10.5281/zenodo.7086918","title":"Euphoria herbacea","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Apex (geometry); Seta; Scutellum; Cretaceous","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":[0.0001270089,0.000777944,0.0003704597,0.001174794,0.0007318879,0.0003527761,0.000354807,0.0002628812,0.0285532],"category_scores_gemma":[0.0002856524,0.0002058205,0.0002072103,0.0007780915,0.0001863595,0.0007312184,0.0007883178,0.000411737,0.01339043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003363299,"about_ca_system_score_gemma":0.0001855268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003126101,"about_ca_topic_score_gemma":0.006516717,"domain_scores_codex":[0.9998697,0.00001268897,0.00001131484,0.00005878821,0.00003046459,0.00001697459],"domain_scores_gemma":[0.9998901,0.00001390127,0.00003385532,0.00001841916,0.00002725971,0.00001645857],"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":[0.0009109703,0.000232692,0.03058856,0.002391447,0.0001193715,0.00229117,0.001266593,0.0004583527,0.09967734,0.003232456,0.03435506,0.8244761],"study_design_scores_gemma":[0.0001135825,0.0003199419,0.2111431,0.0003531055,0.00008760901,0.002944187,0.0005469113,0.0002327014,0.00464754,0.00107817,0.7784903,0.00004303694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2606001,0.0169048,0.00973137,0.0007358216,0.0009836915,0.0009549289,0.02727111,0.001562901,0.6812553],"genre_scores_gemma":[0.805828,0.008158136,0.01670979,0.002343888,0.0003060199,0.0004208263,0.0174203,0.0002565342,0.1485564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0285532,"threshold_uncertainty_score":0.0955199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04071863351869895,"score_gpt":0.255239623581174,"score_spread":0.2145209900624751,"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."}}