{"id":"W3112364125","doi":"","title":"The IWGSC Data repository and wheat data resources hosted at URGI: Overview and perspectives","year":2018,"lang":"en","type":"other","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada","funders":"","keywords":"Data science; Computer science; World Wide Web","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":[0.0008225627,0.0005083799,0.0005325919,0.00003523272,0.0009454297,0.0003704243,0.00186562,0.0004174482,0.0004003895],"category_scores_gemma":[0.0001313357,0.000188217,0.00005341406,0.0002164988,0.0008983512,0.0001173623,0.003951759,0.0002459545,0.00004467138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002285553,"about_ca_system_score_gemma":0.0000265609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007423724,"about_ca_topic_score_gemma":0.005266706,"domain_scores_codex":[0.9967443,0.0002931354,0.0003768036,0.001644002,0.00034985,0.0005918756],"domain_scores_gemma":[0.9979339,0.0002907556,0.0002784543,0.001203619,0.00009235602,0.0002009614],"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":[0.0001612044,0.0001292493,0.003710866,0.0001834837,0.0002185025,0.00005596197,0.0006513694,3.206144e-8,0.006969455,0.0005231051,0.9160807,0.07131603],"study_design_scores_gemma":[0.0002104275,0.0003539425,0.006662262,0.0001661581,0.0001317084,0.0001094252,0.0006690972,0.00006360024,0.00004074633,0.0001467821,0.9909654,0.0004805008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.1047916,0.5989382,0.000002192395,0.01133271,0.001379312,0.002370285,0.003434487,0.000472839,0.2772784],"genre_scores_gemma":[0.04721202,0.1491469,0.0005190277,0.0005541385,0.009014855,0.0000925945,0.004475522,0.0001143777,0.7888706],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5115922,"threshold_uncertainty_score":0.7675266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06628143860244586,"score_gpt":0.2684811374436208,"score_spread":0.2021996988411749,"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."}}