{"id":"W4241652043","doi":"10.1111/gtc.12297","title":"Issue Information","year":2016,"lang":"en","type":"paratext","venue":"Genes to Cells","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Molecular and Cellular Biosciences; University of Tokyo; RIKEN; University of California, Davis; Institute of Genetics; National Agriculture and Food Research Organization; Harvard University","keywords":"Citation; Computer science; Code (set theory); Cover (algebra); World Wide Web; Biology; Library science; Programming language; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000154581,0.0002945332,0.0002714598,0.000023523,0.0001937753,0.0001865563,0.0007970723,0.0003360243,0.002831224],"category_scores_gemma":[0.00001333247,0.0000801785,0.0001043514,0.0003754937,0.00003875642,0.0003577591,0.0002107608,0.0001235652,0.2740426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005060873,"about_ca_system_score_gemma":0.00001822683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001680703,"about_ca_topic_score_gemma":0.0001036843,"domain_scores_codex":[0.9983968,0.00004477713,0.0003094897,0.000359189,0.0004184829,0.0004712846],"domain_scores_gemma":[0.9992549,0.0001007164,0.0001912331,0.00009989276,0.0001224856,0.0002307869],"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":[0.000005254315,0.000007535455,0.000009809836,0.00001137748,0.000004240877,6.471232e-7,0.00004511755,0.00001515166,0.03211749,0.000006083462,0.8612878,0.1064895],"study_design_scores_gemma":[0.00003098787,0.00009919026,0.0004594785,0.00004698442,0.000005696388,0.000003816412,0.00005347223,0.000001228869,0.02958521,0.00001228125,0.9693611,0.0003405895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1312262,0.002688034,0.0002484475,0.0106367,0.03232742,0.003264215,0.008552836,0.0004109958,0.8106452],"genre_scores_gemma":[0.005284548,0.001798181,0.0004396185,0.004420937,0.00587198,0.0000978829,0.001917825,0.000002543176,0.9801665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2712113,"threshold_uncertainty_score":0.9980803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000403565280151,"score_gpt":0.2028840511827691,"score_spread":0.1928800155299676,"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."}}