{"id":"W6892173487","doi":"10.5065/d6sj1jch","title":"The NA-CORDEX dataset","year":2017,"lang":"en","type":"dataset","venue":"UCAR/NCAR","topic":"","field":"","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Ouranos","funders":"","keywords":"Identification (biology); Set (abstract data type); Feature (linguistics); Data set","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":[0.002045836,0.005625198,0.002695725,0.004929034,0.00188565,0.003159026,0.00593858,0.004721651,0.04433553],"category_scores_gemma":[0.008941676,0.0008644394,0.002882721,0.005989331,0.001149475,0.002487138,0.003080724,0.003127414,0.09088513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642149,"about_ca_system_score_gemma":0.004665845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05550862,"about_ca_topic_score_gemma":0.1059245,"domain_scores_codex":[0.9970496,0.0006830061,0.000232901,0.0007970871,0.0007692629,0.0004682389],"domain_scores_gemma":[0.9967985,0.0006319651,0.0001572572,0.0009209439,0.001080727,0.0004107456],"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":[0.0001122105,0.00006518343,0.0003849839,0.0003077886,0.0000455045,0.00003883123,0.00001270313,0.0006394127,0.0001490829,0.0002744469,0.9934815,0.004488409],"study_design_scores_gemma":[0.0008450887,0.0001716099,0.004741129,0.0005328048,0.0001515995,0.0004677497,0.0002808121,0.01106217,0.002316094,0.003344022,0.975963,0.0001238803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002712667,0.001473575,0.000790294,0.0006301303,0.0004888145,0.0001353618,0.983469,0.005497003,0.00480315],"genre_scores_gemma":[0.001133543,0.0002031608,0.0009347802,0.0001710793,0.00004498072,0.0001146362,0.9950444,0.0002239447,0.002129463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05550862,"threshold_uncertainty_score":0.1483171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120646022443727,"score_gpt":0.3483746111272552,"score_spread":0.3171681509028179,"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."}}