{"id":"W2740213693","doi":"10.18653/v1/k17-2008","title":"If you can't beat them, join them: the University of Alberta system description","year":2017,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Computer science; Discriminative model; Join (topology); Task (project management); Artificial intelligence; Context (archaeology); Natural language processing; Speech recognition","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001222888,0.00137638,0.0009011381,0.001537727,0.001353312,0.003704526,0.003103319,0.001248241,0.07149852],"category_scores_gemma":[0.002362466,0.0007831387,0.0005234403,0.001810958,0.0008065013,0.001671859,0.00160827,0.001618601,0.058787],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005816777,"about_ca_system_score_gemma":0.00910286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4387366,"about_ca_topic_score_gemma":0.4733698,"domain_scores_codex":[0.9991249,0.00008816051,0.00004728947,0.0002433326,0.0003129308,0.0001833612],"domain_scores_gemma":[0.9992446,0.00009892043,0.00002865401,0.0001602451,0.0002836785,0.0001839817],"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":[0.0007854567,0.0001213989,0.003129435,0.001013856,0.00006091438,0.0006913641,0.0005217082,0.01726441,0.01795745,0.01572174,0.7753224,0.1674098],"study_design_scores_gemma":[0.0001337591,0.0001013655,0.003787243,0.0001427714,0.00006381974,0.0005542209,0.0002259546,0.05509845,0.0167341,0.007182203,0.9157402,0.0002358784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.02232507,0.003581521,0.2666466,0.004675951,0.0009925929,0.002907193,0.1905623,0.3376233,0.1706855],"genre_scores_gemma":[0.194122,0.00258625,0.2459837,0.002404267,0.0001968335,0.001966625,0.3131204,0.02237698,0.2172429],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9941832,"threshold_uncertainty_score":0.8723658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441929272480663,"score_gpt":0.222698383479858,"score_spread":0.1982790907550513,"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."}}