{"id":"W2948895131","doi":"10.1145/3299869.3320230","title":"SVQ","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence; Object detection; Frame (networking); Object (grammar); Computer vision; Pattern recognition (psychology); Telecommunications","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":[0.0009111175,0.0007331081,0.0006735714,0.001121899,0.0006582001,0.001951854,0.001456616,0.001059634,0.08041644],"category_scores_gemma":[0.003822925,0.000235167,0.0004794507,0.001260607,0.0005345599,0.001697099,0.001815562,0.00132993,0.03437301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007715619,"about_ca_system_score_gemma":0.001740338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005254648,"about_ca_topic_score_gemma":0.005868384,"domain_scores_codex":[0.9991838,0.0001016681,0.00004713777,0.0001801865,0.0003765586,0.0001106257],"domain_scores_gemma":[0.9989811,0.0001401042,0.00004026079,0.0002164121,0.0005617808,0.00006039003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004208501,0.0001641678,0.00142393,0.0003215525,0.00006715584,0.000134471,0.00008765549,0.01905787,0.00967749,0.06568711,0.2299033,0.6730544],"study_design_scores_gemma":[0.0002469426,0.0003109023,0.001952435,0.0002074596,0.00005736489,0.0004599968,0.0002083544,0.332364,0.02489512,0.124232,0.5149714,0.00009410043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01777787,0.0023959,0.8094304,0.002238173,0.002888026,0.0005421865,0.01722192,0.0294384,0.1180672],"genre_scores_gemma":[0.3172431,0.002801007,0.3764738,0.003198976,0.00122681,0.0008517258,0.06949238,0.006401189,0.222311],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9195836,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081319759932946,"score_gpt":0.246373208218304,"score_spread":0.2355600106189746,"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."}}