{"id":"W2966871904","doi":"","title":"University of Waterloo Docker Images for OSIRRC at SIGIR 2019.","year":2019,"lang":"en","type":"article","venue":"International ACM SIGIR Conference on Research and Development in Information Retrieval","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval","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":[0.001892061,0.001645822,0.001882722,0.004301507,0.003125698,0.008394465,0.002218729,0.002214486,0.8181304],"category_scores_gemma":[0.003965039,0.00113693,0.001035762,0.003936959,0.0005679381,0.004233452,0.00316096,0.001940266,0.6888012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229217,"about_ca_system_score_gemma":0.004006065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06016986,"about_ca_topic_score_gemma":0.1508276,"domain_scores_codex":[0.9989219,0.00006574433,0.00003371825,0.0002108979,0.0005777719,0.0001900272],"domain_scores_gemma":[0.9971938,0.0002087336,0.0000745276,0.0004245644,0.001182482,0.0009158782],"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":[0.00003987116,0.00001222746,0.00003835911,0.00004266298,0.000002785151,0.00001506496,0.00001503338,0.00002005081,0.0003162217,0.0003660991,0.9839433,0.01518826],"study_design_scores_gemma":[0.00002892832,0.0000193232,0.0004160711,0.00004555515,0.000005402122,0.00004422162,0.000054344,0.0003656486,0.0004826772,0.000758936,0.9977641,0.00001475516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.001806456,0.003533852,0.009929275,0.008587403,0.00610868,0.0006456739,0.1472575,0.05364839,0.7684827],"genre_scores_gemma":[0.00310263,0.0009213343,0.008289603,0.000804505,0.0004883988,0.0001209858,0.05260159,0.006297052,0.9273739],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8181304,"threshold_uncertainty_score":0.2594149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017968987095447,"score_gpt":0.3071664114608667,"score_spread":0.2569867215899122,"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."}}