{"id":"W6969316390","doi":"10.5683/sp3/5oa3tu","title":"DLI Products, Services and Licence","year":2004,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Product (mathematics); Government (linguistics); Information system; Work (physics); Quality (philosophy)","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":[0.00171546,0.00295302,0.001675254,0.007967534,0.001153084,0.003795113,0.003749741,0.002413592,0.06696441],"category_scores_gemma":[0.01064743,0.00118867,0.001512897,0.01601463,0.0005587557,0.003053286,0.002730976,0.003090231,0.134926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002905262,"about_ca_system_score_gemma":0.004190277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05485246,"about_ca_topic_score_gemma":0.07951543,"domain_scores_codex":[0.9970995,0.0004170088,0.0003896486,0.0006681054,0.0009440954,0.0004815762],"domain_scores_gemma":[0.9954439,0.0006863278,0.0004763121,0.00156343,0.001229741,0.0006002584],"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":[0.00003055366,0.00001457306,0.0003603235,0.0001837343,0.00001083548,0.00001048073,0.00001260582,0.0001259693,0.000049973,0.0003573028,0.9974612,0.001382562],"study_design_scores_gemma":[0.00009424984,0.0000122092,0.002381755,0.0001304214,0.00001497294,0.0000629395,0.00007414777,0.0003785307,0.0002610783,0.001004907,0.9955586,0.0000260908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0000997704,0.0000698117,0.0001018595,0.00006876529,0.00002804155,0.00001036704,0.9978498,0.0007800132,0.0009916344],"genre_scores_gemma":[0.0002045096,0.00004114473,0.0002126296,0.00002855202,0.000004394839,0.00002913727,0.9988149,0.0001238585,0.0005408766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06696441,"threshold_uncertainty_score":0.2240183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491680381459151,"score_gpt":0.255965458129404,"score_spread":0.2410486543148125,"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."}}