{"id":"W2806202122","doi":"","title":"MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track.","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00533382,0.00009815155,0.0001818949,0.0001710812,0.0003023008,0.0001829187,0.0005239804,0.00003622417,0.00009855877],"category_scores_gemma":[0.0003206985,0.00005820141,0.00004539299,0.0004377486,0.0003349414,0.0003604715,0.0001565702,0.00003472724,0.0001691394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002019273,"about_ca_system_score_gemma":0.00003150179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001573682,"about_ca_topic_score_gemma":0.000003876539,"domain_scores_codex":[0.9983343,0.0001689526,0.0004780259,0.0004314911,0.0004317613,0.0001554084],"domain_scores_gemma":[0.9973443,0.001225326,0.0002376696,0.0008922466,0.0002314181,0.00006905544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003016224,0.00002554986,0.0001356281,0.00001702655,0.00000953069,2.011461e-7,0.0001985778,0.00001375998,0.003686095,0.9049604,0.007326611,0.08359646],"study_design_scores_gemma":[0.0004239203,0.00005340332,0.001080042,0.0000920598,0.00004725278,0.000005031418,0.006789547,0.0002519437,0.0144099,0.5824723,0.394129,0.0002455786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08922835,0.000468931,0.9019657,0.0005178515,0.0002674561,0.0004153522,0.0001320768,0.0001159675,0.006888257],"genre_scores_gemma":[0.9894058,0.00002891825,0.0005742998,0.00002902291,0.00007760606,0.00006352726,0.000007071417,0.000005553614,0.009808257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9013914,"threshold_uncertainty_score":0.2373385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05224603676120076,"score_gpt":0.3066374876255397,"score_spread":0.254391450864339,"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."}}