{"id":"W6930015888","doi":"10.5281/zenodo.10601704","title":"Acalypha (Acalypha)","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Bract; Sepal; Inflorescence; Ovary; Sapindaceae","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008294274,0.0001270593,0.0001662107,0.000400359,0.001120932,0.0002573796,0.0004582826,0.00007676898,0.0101647],"category_scores_gemma":[0.0004678459,0.0001304476,0.00007406879,0.001064484,0.0001250227,0.0001549937,0.0006029633,0.000297081,0.02585829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550807,"about_ca_system_score_gemma":0.000004259338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003557171,"about_ca_topic_score_gemma":3.839832e-8,"domain_scores_codex":[0.998318,0.0001737948,0.0002331312,0.0003527302,0.000565849,0.0003565199],"domain_scores_gemma":[0.9986807,0.00001680911,0.00005987441,0.000471172,0.0005489106,0.0002225169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001058627,0.0001515053,0.0000230198,0.00009217188,0.00006055756,0.0000712127,0.0002866194,0.000005432498,0.1276224,0.003499178,0.7922582,0.07582387],"study_design_scores_gemma":[0.0006501112,0.0003127873,0.003227621,0.00006781924,0.00002926928,0.0001892282,0.00008931392,0.000369248,0.01065596,0.000270305,0.9839978,0.000140565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1715918,0.0001480548,0.01514989,0.01459612,0.0003331122,0.002425522,0.0002100389,0.02493845,0.770607],"genre_scores_gemma":[0.9910758,0.0001061419,0.0008518965,0.0006217037,0.0002665035,1.029788e-7,0.002317414,0.001629464,0.003130959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.819484,"threshold_uncertainty_score":0.9907401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07517349092810877,"score_gpt":0.2995935974887187,"score_spread":0.2244201065606099,"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."}}