{"id":"W2807345617","doi":"","title":"RPI BLENDER TAC-KBP2015 system description","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0007329212,0.00007797992,0.0001143757,0.00007668591,0.0001018758,0.00006278228,0.0003308723,0.0000418797,0.000001041963],"category_scores_gemma":[0.00002056501,0.00007004692,0.00001880921,0.0002391603,0.0001068554,0.0002627918,0.0001047766,0.0000469571,0.000008650273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001828313,"about_ca_system_score_gemma":0.00005133286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009034412,"about_ca_topic_score_gemma":3.282869e-7,"domain_scores_codex":[0.9993542,0.00009795707,0.0001743932,0.0001694539,0.0001099944,0.00009398323],"domain_scores_gemma":[0.9992196,0.00006538242,0.0001012155,0.0003613901,0.0001849435,0.00006746015],"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":[0.000006836624,0.00001680464,0.00004149793,0.00002018176,0.000005372659,1.275438e-7,0.0004657181,0.0002612081,0.00007431641,0.9922658,0.0004586936,0.006383505],"study_design_scores_gemma":[0.0003233275,0.00008681697,0.000136059,0.00002595819,0.00002050508,0.0000349229,0.001558854,0.01305009,0.01270032,0.9578547,0.01395227,0.0002561393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001738394,0.0005483226,0.9872816,0.0000921677,0.00004047879,0.000158658,0.000001593046,0.0003738097,0.009764967],"genre_scores_gemma":[0.9594243,0.000021255,0.03996222,0.00003099224,0.00003842149,0.00007195328,0.000004965998,0.000004733222,0.0004411487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9576859,"threshold_uncertainty_score":0.2856431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160393380966942,"score_gpt":0.2534892568962807,"score_spread":0.2318853230866113,"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."}}