{"id":"W6950272462","doi":"10.5281/zenodo.6097037","title":"Acalles","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Type locality; Tree (set theory); Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001979929,0.00109833,0.0007208837,0.003606143,0.002389476,0.001400193,0.0007890306,0.0005424563,0.0720959],"category_scores_gemma":[0.0004735324,0.0001939089,0.0004942427,0.001803162,0.0004629309,0.001060877,0.001244728,0.000620826,0.02940757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008333693,"about_ca_system_score_gemma":0.0007843497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009272239,"about_ca_topic_score_gemma":0.01676983,"domain_scores_codex":[0.9996326,0.00003205837,0.00003143132,0.000109717,0.0001351095,0.00005903644],"domain_scores_gemma":[0.9997969,0.00002127639,0.00005239227,0.00002947827,0.00006679112,0.00003311942],"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":[0.0008312297,0.0002764448,0.02384642,0.002701086,0.0001105965,0.002491344,0.001655982,0.0003136745,0.03463677,0.01922412,0.1670395,0.7468729],"study_design_scores_gemma":[0.00001788654,0.00005264028,0.01751105,0.0002035025,0.00003794127,0.001300366,0.0002676646,0.00007415473,0.0009774186,0.0009002359,0.978643,0.00001405795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09476179,0.02141343,0.004926488,0.001312125,0.001901771,0.0007403643,0.03866506,0.002856496,0.8334225],"genre_scores_gemma":[0.5123484,0.01713802,0.01801953,0.00297211,0.001329286,0.0007859881,0.07707939,0.0007721435,0.3695552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0720959,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417137304014686,"score_gpt":0.2371042398896243,"score_spread":0.1929328668494774,"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."}}