{"id":"W2788337424","doi":"10.1594/wdcc/dphase_cmcgeml","title":"dphase_cmcgeml: regional GEM model driving (low resolution) forecast run by CMC for the MAP D-PHASE project","year":2007,"lang":"en","type":"dataset","venue":"","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Phase (matter); Computer science; Environmental science; Computer graphics (images); Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001161846,0.001188632,0.000856913,0.0009426424,0.0006289195,0.00159378,0.001579352,0.001510383,0.033744],"category_scores_gemma":[0.002591826,0.0006520402,0.0007357029,0.001704573,0.0002754125,0.001574408,0.0006557517,0.001966841,0.01711524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362925,"about_ca_system_score_gemma":0.002034386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05405471,"about_ca_topic_score_gemma":0.02622816,"domain_scores_codex":[0.9996152,0.00009030649,0.00001316389,0.0001100615,0.0001267289,0.00004466127],"domain_scores_gemma":[0.9993051,0.0001097662,0.00005144471,0.0001091949,0.0002782943,0.0001461139],"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":[0.00131735,0.0001382775,0.005269777,0.0004545638,0.0003265188,0.0002598307,0.0001719507,0.09812536,0.005665961,0.004076625,0.8334649,0.05072881],"study_design_scores_gemma":[0.002355721,0.0001465069,0.01004637,0.00009222115,0.0001213506,0.00005434602,0.00008750296,0.5264837,0.01170392,0.004388346,0.4443546,0.000165478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04193425,0.0005931438,0.03276267,0.002417156,0.001226522,0.0005278816,0.7768959,0.07778232,0.06586014],"genre_scores_gemma":[0.1707107,0.0003088758,0.07116226,0.0006079209,0.0003463193,0.0006738646,0.724751,0.01830518,0.01313385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05405471,"threshold_uncertainty_score":0.1128849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06477710516711148,"score_gpt":0.2941724456146461,"score_spread":0.2293953404475346,"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."}}