{"id":"W6894078640","doi":"10.5281/zenodo.7888751","title":"Rosa corymbifera Borkh.","year":2014,"lang":"cs","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":"Identification (biology); Fungus; Fungal disease","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":[0.0003052811,0.001071974,0.0007256413,0.001424963,0.001276808,0.0004854609,0.0006171127,0.0004951044,0.0119306],"category_scores_gemma":[0.0002000707,0.000330727,0.0005733706,0.0009651723,0.000250758,0.0004324525,0.0006839963,0.0007805954,0.01043965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091942,"about_ca_system_score_gemma":0.0006613488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0336807,"about_ca_topic_score_gemma":0.04231782,"domain_scores_codex":[0.9997113,0.00002110703,0.00002002002,0.0001395672,0.0000718697,0.00003613546],"domain_scores_gemma":[0.9998301,0.00001651444,0.00004094725,0.00002499539,0.00004621454,0.00004114132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005630134,0.0001274751,0.006137903,0.0007772014,0.0001140562,0.0007460564,0.0003233998,0.0004655657,0.8411134,0.004039803,0.01277515,0.132817],"study_design_scores_gemma":[0.0002834807,0.0006146851,0.2681214,0.0002599855,0.0001944993,0.002645116,0.0005075368,0.0005110823,0.04263738,0.001640222,0.6824952,0.00008948831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5472626,0.06627225,0.02207994,0.004036081,0.002284565,0.001274767,0.03869152,0.004126359,0.3139718],"genre_scores_gemma":[0.7527819,0.007560365,0.02294912,0.001734047,0.0001523597,0.0004361462,0.04031616,0.0006251117,0.1734448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0336807,"threshold_uncertainty_score":0.06696934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03775578630556285,"score_gpt":0.2297920009155977,"score_spread":0.1920362146100348,"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."}}