{"id":"W6913062260","doi":"10.5281/zenodo.7888770","title":"Rosa foetida Herrm.","year":2014,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Genus; Identification (biology); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000348918,0.001006712,0.0008023267,0.001831262,0.001598937,0.0006347382,0.0009367254,0.0009392608,0.03482285],"category_scores_gemma":[0.0005665824,0.0002794133,0.000358965,0.00158128,0.0002909431,0.0008307501,0.0007893829,0.0008919596,0.02404626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724291,"about_ca_system_score_gemma":0.0003549165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02433952,"about_ca_topic_score_gemma":0.03197995,"domain_scores_codex":[0.9996201,0.00003555509,0.00002063505,0.0001663034,0.0001039905,0.00005343634],"domain_scores_gemma":[0.9997595,0.00003263397,0.00007210953,0.0000298388,0.00007375573,0.00003215117],"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":[0.0007755624,0.0001865359,0.006805201,0.001335668,0.0001488617,0.004308489,0.001611333,0.0006020734,0.2455902,0.02194813,0.1136758,0.6030121],"study_design_scores_gemma":[0.00004121038,0.00006486395,0.0337007,0.0001930614,0.00006115223,0.001484883,0.00032383,0.0001388347,0.004309925,0.001018979,0.9586326,0.00002991079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1421889,0.04162368,0.01412448,0.007458995,0.004787456,0.0006854628,0.04662487,0.00498366,0.7375225],"genre_scores_gemma":[0.4746624,0.01166888,0.02188282,0.005722906,0.0008984186,0.0004173274,0.04680235,0.001058001,0.4368869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03482285,"threshold_uncertainty_score":0.1164941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827448545711844,"score_gpt":0.229392441158991,"score_spread":0.1911179557018725,"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."}}