{"id":"W6912709376","doi":"10.5281/zenodo.7888824","title":"Rosa nitidula Besser","year":2014,"lang":"cs","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmacological Effects of Natural Compounds","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Face (sociological concept); Selection (genetic algorithm); Relation (database)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003225237,0.0005193481,0.0005183718,0.0003470676,0.005457519,0.0009194997,0.002583794,0.0006365025,0.07815692],"category_scores_gemma":[0.002051312,0.0005374938,0.0002208009,0.0009074843,0.0008205237,0.0004376257,0.00266249,0.002707651,0.0390947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361162,"about_ca_system_score_gemma":0.000009665247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000899855,"about_ca_topic_score_gemma":3.912564e-7,"domain_scores_codex":[0.9918929,0.00465873,0.000617673,0.0009741312,0.0005828319,0.001273688],"domain_scores_gemma":[0.996668,0.0005380855,0.0003096335,0.0006288944,0.0009687386,0.0008866547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008185165,0.001049823,0.00001335899,0.0003129392,0.0003920598,0.00009745886,0.0006316139,0.0003942907,0.07497803,0.01089958,0.6331117,0.2773007],"study_design_scores_gemma":[0.002605112,0.001064442,0.0005443789,0.0000474649,0.0002218947,0.0002133125,0.00009718448,0.006920219,0.006824927,0.0008169101,0.98004,0.0006041842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2731939,0.00201338,0.002557443,0.01078212,0.004598533,0.002851527,0.001673015,0.003875338,0.6984547],"genre_scores_gemma":[0.9860987,0.0004642019,0.0001476253,0.004470443,0.001331786,1.542537e-7,0.00209818,0.001815611,0.003573297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7129048,"threshold_uncertainty_score":0.9997076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050638122641937,"score_gpt":0.3813012070104884,"score_spread":0.2762373947462948,"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."}}