{"id":"W6913219368","doi":"10.5683/sp3/0jfl0l","title":"The DLI Training Repository","year":2005,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Carleton University","funders":"","keywords":"Training (meteorology); Action (physics); Data collection; Context (archaeology); Work (physics)","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":[0.006715004,0.002847431,0.00171642,0.004542772,0.002002108,0.003639829,0.007312927,0.002550344,0.02074012],"category_scores_gemma":[0.02001966,0.001278969,0.001885468,0.00729937,0.00123703,0.004952794,0.004128389,0.005526848,0.05004824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004187289,"about_ca_system_score_gemma":0.004446809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05251158,"about_ca_topic_score_gemma":0.09469732,"domain_scores_codex":[0.994516,0.001147473,0.0006107528,0.00145432,0.001736072,0.000535291],"domain_scores_gemma":[0.9915856,0.001200688,0.0002741835,0.003587635,0.002624383,0.0007274186],"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":[0.00007803612,0.00004729105,0.000595691,0.0001733812,0.00002412168,0.00002916367,0.00004015718,0.0005574865,0.0001969871,0.0009722943,0.9879774,0.00930794],"study_design_scores_gemma":[0.0001846531,0.00008195947,0.003879075,0.0002537317,0.00005144358,0.0002832877,0.0002252166,0.005798441,0.003292039,0.003172948,0.9827057,0.00007139619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003756807,0.001280136,0.006371421,0.001893446,0.0008132604,0.0002405633,0.9497326,0.02432758,0.01158418],"genre_scores_gemma":[0.002867518,0.0001468067,0.00469377,0.0002324389,0.00002369685,0.0001325247,0.9885798,0.0006882446,0.002635188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05251158,"threshold_uncertainty_score":0.1044118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034687608338287,"score_gpt":0.2793606319507498,"score_spread":0.249013755867367,"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."}}