{"id":"W6892670149","doi":"10.5281/zenodo.10667960","title":"Acalypha fimbriata Schumach. & Thonn.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Stipule; Scape; Trichome; Seta; Deciduous; Leaflet (botany)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002165476,0.001384874,0.0003394925,0.002342401,0.001781908,0.0004387851,0.0006656402,0.0008156804,0.02008148],"category_scores_gemma":[0.0004408205,0.0002372744,0.0002887584,0.001043338,0.0008392156,0.001970612,0.0008069286,0.0006633021,0.003973055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368286,"about_ca_system_score_gemma":0.0005282321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502374,"about_ca_topic_score_gemma":0.06696022,"domain_scores_codex":[0.99985,0.00002166195,0.00001142328,0.00004153978,0.00004551596,0.00002972519],"domain_scores_gemma":[0.9996825,0.00006790404,0.0001488829,0.00001014604,0.00005546058,0.00003521063],"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":[0.0004292127,0.0001978455,0.06552729,0.002770242,0.00007931141,0.002664223,0.003356203,0.0006680264,0.01557651,0.006259619,0.031214,0.8712575],"study_design_scores_gemma":[0.00004794845,0.0004067447,0.6900695,0.001634494,0.0001552188,0.003685428,0.002779698,0.0004848949,0.001475252,0.002419835,0.2967954,0.00004569535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.444402,0.1211505,0.00496457,0.005654365,0.001381115,0.002227026,0.01116015,0.0004489932,0.4086112],"genre_scores_gemma":[0.9511161,0.01035116,0.005738018,0.001465701,0.0003334713,0.0003925496,0.002775211,0.00002689093,0.02780094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02502374,"threshold_uncertainty_score":0.06717926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06067806309425861,"score_gpt":0.2632453893458308,"score_spread":0.2025673262515722,"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."}}