{"id":"W7130341304","doi":"10.25909/5531113.v1","title":"Diversity in the underground: interactions between roots, abiotic and biotic factors","year":2017,"lang":"","type":"other","venue":"The University of Adelaide","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Abiotic component; Biodiversity; Work (physics)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0010585,0.0008183755,0.001116,0.0009031665,0.00611537,0.0001200325,0.004517215,0.0005530398,0.001642433],"category_scores_gemma":[0.0002377565,0.0006465797,0.0004624713,0.0004998635,0.004236368,0.0007001064,0.004706598,0.001915632,0.0008164419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008410944,"about_ca_system_score_gemma":0.0002365484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0365454,"about_ca_topic_score_gemma":0.04428729,"domain_scores_codex":[0.9960737,0.001141089,0.000344051,0.0008712405,0.0008160095,0.0007538809],"domain_scores_gemma":[0.9939223,0.002053519,0.001553435,0.00214074,0.0001090936,0.000220918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007337545,0.001032667,0.7601253,0.0007147974,0.005027916,0.0003330805,0.1565336,0.0001666036,0.0002856623,0.001955179,0.07110007,0.001991383],"study_design_scores_gemma":[0.001721228,0.0002140071,0.8404182,0.001677911,0.003395077,0.00002581806,0.04342296,0.00009040805,0.00001798336,0.0007224104,0.107365,0.0009289948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911022,0.0007705834,0.000233753,0.00249966,0.000507014,0.001735952,0.001090246,0.00008930942,0.08205149],"genre_scores_gemma":[0.9371725,0.0007030802,0.00003435555,0.00002577988,0.0001160777,6.685036e-8,0.00004789309,0.0001404842,0.06175971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131106,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05488790082504055,"score_gpt":0.2529375020668566,"score_spread":0.1980496012418161,"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."}}