{"id":"W6950936279","doi":"10.5683/sp3/v6ulae","title":"DLI Update","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Key (lock); Focus (optics); Set (abstract data type); Identification (biology); Process (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002782102,0.006751576,0.002933017,0.007788949,0.002304057,0.00536697,0.006514625,0.00375232,0.08967841],"category_scores_gemma":[0.01622402,0.001248831,0.003340469,0.006850522,0.0011926,0.005315199,0.004592434,0.004406348,0.1821175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002545852,"about_ca_system_score_gemma":0.004278989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05217255,"about_ca_topic_score_gemma":0.0857961,"domain_scores_codex":[0.9957045,0.0007197284,0.0003235171,0.001051595,0.001457272,0.0007433548],"domain_scores_gemma":[0.9949728,0.0007674575,0.0001857675,0.001772744,0.001627194,0.0006740626],"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":[0.00005929622,0.0000374483,0.0001420352,0.0001352381,0.00002260399,0.00001348523,0.000008404613,0.0001990044,0.00009128243,0.000166268,0.9952939,0.003830914],"study_design_scores_gemma":[0.0005627758,0.000091543,0.001685194,0.0002201586,0.0001035955,0.0002301018,0.0001328282,0.005681054,0.001562241,0.003687541,0.985958,0.00008488318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001107654,0.0008383585,0.001416436,0.0009173774,0.0009631758,0.0001515454,0.9607334,0.02585356,0.008018414],"genre_scores_gemma":[0.001218649,0.0001744555,0.001705141,0.0003539021,0.0000833513,0.0001538701,0.9917375,0.001142955,0.003430155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9103216,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016923855381042,"score_gpt":0.2861324876046856,"score_spread":0.2659632490508752,"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."}}