{"id":"W6911915773","doi":"10.5281/zenodo.12795555","title":"Muhlenbergia frondosa Fernald","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Riparian zone; Woodland; Flora (microbiology); Introduced species; Paleoethnobotany; Invasive species","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":[0.0001143596,0.0005797662,0.0002497716,0.001077406,0.0008094627,0.0002872148,0.0004093493,0.0004105357,0.004813015],"category_scores_gemma":[0.0003313156,0.0001767253,0.0001862373,0.0003289221,0.0003176747,0.0006560389,0.0004712006,0.0004831614,0.001780662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006822402,"about_ca_system_score_gemma":0.0002746832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169569,"about_ca_topic_score_gemma":0.01977787,"domain_scores_codex":[0.9998873,0.000007964663,0.00000546331,0.00004888645,0.00002982475,0.00002053243],"domain_scores_gemma":[0.99991,0.00002208999,0.00002789929,0.000008897076,0.00001685523,0.00001424933],"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":[0.0004314787,0.0002331301,0.02678884,0.000941818,0.00007327059,0.00490716,0.002014279,0.001108754,0.1416557,0.004960436,0.02524452,0.7916406],"study_design_scores_gemma":[0.00009401661,0.0002915647,0.4369512,0.0005460276,0.00009626028,0.01275393,0.001053124,0.0009710602,0.01494457,0.00330819,0.5289167,0.00007330601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6735883,0.03336764,0.0075271,0.00182473,0.0008210798,0.0003423912,0.003654593,0.001277957,0.2775963],"genre_scores_gemma":[0.958356,0.003180906,0.002937589,0.000414549,0.0001228133,0.00006775699,0.0007178182,0.00003320554,0.03416942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01169569,"threshold_uncertainty_score":0.02325523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08004120629623038,"score_gpt":0.2290118664824377,"score_spread":0.1489706601862073,"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."}}