{"id":"W2895332542","doi":"10.1145/3209280.3229101","title":"OurDirection","year":2018,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Recurrent neural network; Encoder; Domain (mathematical analysis); Artificial intelligence; Artificial neural network; Open domain; Question answering; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005031149,0.001732022,0.0007161939,0.001265213,0.002292909,0.006387888,0.003586479,0.002835932,0.07045866],"category_scores_gemma":[0.01154973,0.0005360395,0.001368571,0.0008293896,0.001757283,0.01037158,0.00703666,0.003822415,0.03394595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00188522,"about_ca_system_score_gemma":0.004330348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0069914,"about_ca_topic_score_gemma":0.008327973,"domain_scores_codex":[0.9949371,0.002145125,0.0001635409,0.001265597,0.001095824,0.0003927913],"domain_scores_gemma":[0.9948595,0.00110584,0.0001356795,0.001993648,0.001153394,0.0007521028],"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":[0.0004154836,0.0004274489,0.00226746,0.0004679571,0.00005499967,0.000250775,0.001126385,0.00637164,0.004619524,0.3495991,0.2439845,0.3904147],"study_design_scores_gemma":[0.0001252204,0.0001566369,0.0006325024,0.0002466724,0.00003851109,0.0004086532,0.0005975995,0.05332178,0.004967106,0.1696497,0.7697642,0.00009146415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01180923,0.002464754,0.7236203,0.02362359,0.004658795,0.0009661182,0.00662704,0.02060502,0.2056252],"genre_scores_gemma":[0.1830298,0.002291885,0.6211761,0.008805165,0.002103423,0.001153355,0.02218791,0.004200961,0.1550514],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9295413,"threshold_uncertainty_score":0.2357076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387933451402337,"score_gpt":0.2589272941198542,"score_spread":0.2350479596058308,"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."}}