{"id":"W4321345723","doi":"10.5593/sgem2022/5.1/s20.050","title":"SCREENING ON SOME PERMANENT GRASSLANDS IN TIMIS COUNTY (WESTERN ROMANIA). CASE STUDY","year":2022,"lang":"en","type":"article","venue":"International Multidisciplinary Scientific GeoConference SGEM ...","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Grassland; Species richness; Biodiversity; Geography; Vegetation cover; Forage; Biomass (ecology); Herbivore; Vegetation Index; Quarter (Canadian coin); Ecology; Agroforestry; Grazing; Environmental science; Normalized Difference Vegetation Index; Leaf area index; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009121816,0.0002167467,0.0002182244,0.000101258,0.001526412,0.0001983285,0.0006535721,0.00004792557,0.001073221],"category_scores_gemma":[0.00002761612,0.0001132227,0.00007994388,0.0003254628,0.0001284322,0.0002773577,0.0007942301,0.0003763643,0.00005305876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009779692,"about_ca_system_score_gemma":0.00002122579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007132448,"about_ca_topic_score_gemma":0.008501532,"domain_scores_codex":[0.9976499,0.0002038888,0.0003658901,0.0007452096,0.0006579306,0.0003771538],"domain_scores_gemma":[0.9992266,0.0003373201,0.0001428805,0.0001240548,0.00008799908,0.0000810895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001363311,0.001328108,0.9863251,0.000002426791,0.00003733788,0.002783866,0.001816422,0.0008322211,0.001175039,0.0001843241,0.0003775073,0.005001299],"study_design_scores_gemma":[0.0005523975,0.0004464196,0.9784884,0.00001466999,0.00001014453,0.0003393121,0.01498486,0.002118955,0.00001283798,0.000393195,0.002362734,0.0002760153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948534,0.00002465852,0.000001166313,0.001445132,0.001822535,0.0005478892,0.0006654778,0.0000580326,0.0005816555],"genre_scores_gemma":[0.9973198,0.000002439443,0.0000157641,0.00007541345,0.0001026899,0.0001696766,0.0003148336,0.000001661831,0.001997768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316844,"threshold_uncertainty_score":0.99984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05132356082915642,"score_gpt":0.2801417040894681,"score_spread":0.2288181432603117,"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."}}