{"id":"W2978003082","doi":"","title":"Seasonal to Multiseasonal Earth System Prediction and Its Applications Posters","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting 2019","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Earth (classical element); Earth system science; Meteorology; Computer science; Geology; Astrobiology; Environmental science; Geography; Mathematics; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006563212,0.0004594535,0.0002981531,0.0004576498,0.0003777099,0.001016021,0.0003286557,0.00041282,0.01639779],"category_scores_gemma":[0.00101062,0.0001525571,0.0003632241,0.0007458438,0.0001441243,0.0005313602,0.000548646,0.0006207305,0.002763556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108724,"about_ca_system_score_gemma":0.0004278867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143137,"about_ca_topic_score_gemma":0.01614746,"domain_scores_codex":[0.9999177,0.00001643285,0.000003937203,0.00002199858,0.00002818939,0.00001171025],"domain_scores_gemma":[0.9996552,0.00005414404,0.00001362466,0.0000521436,0.0001779082,0.00004700322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000946536,0.0002250565,0.02357704,0.0002139082,0.000163288,0.0003007051,0.0001419053,0.1517566,0.02314679,0.0105789,0.2260901,0.5628592],"study_design_scores_gemma":[0.00004967152,0.0002133954,0.02629516,0.00005259724,0.00006300957,0.0001004208,0.0001867973,0.8757539,0.008243171,0.01209205,0.07691171,0.00003816519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4477717,0.01063758,0.312982,0.01654201,0.02335378,0.0003086183,0.01327713,0.008158467,0.1669687],"genre_scores_gemma":[0.7920836,0.004262839,0.07317606,0.0005662668,0.003589717,0.00007910424,0.008074772,0.0007766332,0.117391],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01639779,"threshold_uncertainty_score":0.05485612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008783599801856206,"score_gpt":0.2454888084686696,"score_spread":0.2367052086668134,"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."}}