{"id":"W7028321541","doi":"","title":"Effects of 5 pharmaceutical substances on bryophyte Fontinalis antipyretica Hedw biomarkers and growth","year":2018,"lang":"fr","type":"article","venue":"ORBi (University of Liège)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Bryophyte; Fontinalis; Agrochemical","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":[],"consensus_categories":[],"category_scores_codex":[0.0001612589,0.0001861465,0.0003815287,0.00003239609,0.0003573177,0.00001260438,0.0002478858,0.0001572133,0.0005726931],"category_scores_gemma":[0.00001181194,0.0001108896,0.0001620259,0.000438172,0.00231512,0.0001318259,0.0001661744,0.0001215545,0.0000279961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002122196,"about_ca_system_score_gemma":0.0000117479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002977459,"about_ca_topic_score_gemma":0.0004384709,"domain_scores_codex":[0.9988238,0.0001262992,0.0001393757,0.0003491328,0.0002204881,0.0003409165],"domain_scores_gemma":[0.9991388,0.0003104825,0.0001643626,0.00006059683,0.0001717925,0.0001539193],"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":[0.004815878,0.002864359,0.2844985,0.004152579,0.002150143,0.0004547638,0.005020218,3.961975e-7,0.1424855,0.0737047,0.09027064,0.3895823],"study_design_scores_gemma":[0.001501853,0.004240503,0.9100801,0.0008436494,0.0004093494,0.00001561025,0.002244819,0.0001745458,0.01346987,0.001010945,0.06550428,0.0005044584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745883,0.005912384,0.0000196231,0.01207261,0.002060058,0.0001979213,0.00005313714,0.00001739404,0.005078516],"genre_scores_gemma":[0.9909658,0.00610224,0.0002996601,0.0001033077,0.0006051508,1.164936e-7,0.000002208965,0.00000190003,0.001919633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6255816,"threshold_uncertainty_score":0.8530158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051181997457088,"score_gpt":0.2088834117207869,"score_spread":0.198371591746216,"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."}}