{"id":"W6912864052","doi":"10.5281/zenodo.4377755","title":"Asplenium rhizophyllum Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Taxonomy (biology); Element (criminal law); Nomenclature","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007120532,0.0001073465,0.0001091675,0.00003313787,0.001344092,0.0002299897,0.0006831106,0.00009335214,0.01528043],"category_scores_gemma":[0.0002341899,0.00005277983,0.00005748995,0.0004185191,0.0001094936,0.00009962056,0.0004941132,0.0001821176,0.008429453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004945086,"about_ca_system_score_gemma":6.216953e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004629991,"about_ca_topic_score_gemma":0.000006364039,"domain_scores_codex":[0.9987494,0.000127718,0.0001942539,0.0003138491,0.0001912757,0.0004235155],"domain_scores_gemma":[0.9993862,0.00004151739,0.00006192028,0.000105379,0.000230679,0.0001743262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001236573,0.0001283951,0.00004125161,0.000009351253,0.00001718917,0.00001619745,0.0001710742,0.000001149454,0.2236918,0.002460839,0.09354395,0.6797951],"study_design_scores_gemma":[0.0001266181,0.0003304575,0.01923477,0.000005382433,0.000003376501,0.00004592573,0.0001901207,0.00001988821,0.001902218,0.0001621488,0.9778476,0.0001315314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7876568,0.0001351386,0.000262737,0.002091334,0.000304434,0.0003075328,0.0001666731,0.001039614,0.2080357],"genre_scores_gemma":[0.9968328,0.00004407747,0.00007551545,0.0003397398,0.0005414443,9.646762e-9,0.0009845324,0.00005450129,0.001127337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8843036,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336641705227635,"score_gpt":0.226713013655255,"score_spread":0.1933465966029786,"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."}}