{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006030467,0.000161538,0.0001727149,0.000007209921,0.004112485,0.0007368561,0.0009300404,0.0001126835,0.04931206],"category_scores_gemma":[0.0004063803,0.00009617581,0.00009881674,0.0005850228,0.0003445073,0.0001375645,0.001170034,0.000261924,0.02403554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008392544,"about_ca_system_score_gemma":4.309204e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604923,"about_ca_topic_score_gemma":0.000008103254,"domain_scores_codex":[0.9981402,0.0003607738,0.0002553974,0.0004685081,0.0002723278,0.0005028482],"domain_scores_gemma":[0.9990478,0.00007647954,0.00009766071,0.0001863336,0.000327731,0.0002639788],"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":[0.00001014559,0.000158751,0.000004707916,0.00001768268,0.0000187019,0.000001102176,0.00008974223,0.000008327886,0.00301854,0.03639387,0.2251703,0.7351081],"study_design_scores_gemma":[0.0001627553,0.0003370777,0.002937883,0.00002938829,0.00001645374,0.00002943027,0.0002382587,0.0003520291,0.0001281315,0.00120122,0.9943703,0.0001971196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1360228,0.004098534,0.004798314,0.2037962,0.001150385,0.001593537,0.001620842,0.002114683,0.6448047],"genre_scores_gemma":[0.9803176,0.00097326,0.0002816842,0.00128383,0.001759226,1.094059e-7,0.00115729,0.0002506757,0.01397634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8442948,"threshold_uncertainty_score":0.997184,"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."}}