{"id":"W2397558838","doi":"","title":"Domino: SAIC's English Entity-Linking System.","year":2012,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Domino; Supervisor; Competition (biology); Task (project management); Computer science; Baseline (sea); Domino effect; Plan (archaeology); Engineering; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00392501,0.002004781,0.001315092,0.006044691,0.001697138,0.004843361,0.003444748,0.001451442,0.05480444],"category_scores_gemma":[0.01424947,0.001665973,0.0009817166,0.003926147,0.0007766292,0.009796556,0.006455677,0.002003034,0.04770382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168128,"about_ca_system_score_gemma":0.003065379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207618,"about_ca_topic_score_gemma":0.01589024,"domain_scores_codex":[0.9977754,0.0004010353,0.0002744582,0.0006465482,0.000745119,0.0001575337],"domain_scores_gemma":[0.9946701,0.001242703,0.0003932102,0.001944502,0.001333703,0.000415816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000637543,0.0001312277,0.002948322,0.001072961,0.0001210953,0.0005096836,0.0006886029,0.0008832267,0.006044763,0.0103529,0.8296108,0.1469988],"study_design_scores_gemma":[0.0002626881,0.00008276559,0.003058842,0.0002493327,0.00006559872,0.000609397,0.0003532785,0.01678634,0.011252,0.007018185,0.9601318,0.0001297012],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01540033,0.00253473,0.1368107,0.001812199,0.0008254152,0.001228454,0.1120717,0.625293,0.1040234],"genre_scores_gemma":[0.08655886,0.00133295,0.2785544,0.00173815,0.0003016914,0.001320091,0.5069749,0.05652851,0.06669039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05480444,"threshold_uncertainty_score":0.1833391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009458581956566927,"score_gpt":0.2298973279793907,"score_spread":0.2204387460228238,"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."}}