{"id":"W2507254902","doi":"10.1145/2956234","title":"TopPRF","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Relevance feedback; Relevance (law); Information retrieval; Selection (genetic algorithm); Probabilistic logic; Reliability (semiconductor); Key (lock); Entropy (arrow of time); Identification (biology); Data mining; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002941706,0.0001043735,0.0001020926,0.000289533,0.0002058389,0.0002810142,0.0007152398,0.00006924196,0.00007198486],"category_scores_gemma":[0.00003603003,0.00006576267,0.00006731655,0.0003651833,0.00002387264,0.005532968,0.00001124959,0.00008218431,0.003564485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009025353,"about_ca_system_score_gemma":0.00005973255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001713905,"about_ca_topic_score_gemma":5.498101e-7,"domain_scores_codex":[0.9987539,0.00003719486,0.0004351937,0.00008965976,0.0004725929,0.0002114746],"domain_scores_gemma":[0.9987544,0.0001118614,0.0001102958,0.0007005971,0.0002163611,0.0001064572],"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":[0.00002415506,0.00004771874,0.00006123128,0.00004269132,0.00002383656,0.000001245832,0.00184505,0.0005956055,0.0002262434,0.08284354,0.001672969,0.9126157],"study_design_scores_gemma":[0.003118984,0.000535191,0.002701559,0.0002428863,0.00001524016,0.0001496193,0.0008272618,0.01306881,0.01510739,0.0009713161,0.9623615,0.0009003069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001519729,0.000003871315,0.9899155,0.001454069,0.0009419858,0.0002517324,0.00002423852,0.0003087088,0.00558015],"genre_scores_gemma":[0.9951071,0.00001709164,0.002859571,0.0003800514,0.00002507461,0.00009130953,0.000003208306,0.000003454687,0.001513203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9935873,"threshold_uncertainty_score":0.9972113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379832225572686,"score_gpt":0.252434260286498,"score_spread":0.2286359380307711,"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."}}