{"id":"W2736621623","doi":"10.1109/icra.2017.7989238","title":"Visual triage: A bag-of-words experience selector for long-term visual route following","year":2017,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Vocabulary; Triage; Artificial intelligence; Term (time); Computer vision; Visualization; Limiting; Human–computer interaction; Engineering; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003544411,0.001017016,0.0006632781,0.0006986331,0.0003585359,0.0007173527,0.00191885,0.0007720036,0.01055796],"category_scores_gemma":[0.001791017,0.000286262,0.0005243596,0.0004816361,0.0002870861,0.001683598,0.001749668,0.0008449886,0.00403023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004123458,"about_ca_system_score_gemma":0.000640719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948517,"about_ca_topic_score_gemma":0.005989495,"domain_scores_codex":[0.999671,0.00003957258,0.00002072078,0.0001253213,0.00009681346,0.00004658593],"domain_scores_gemma":[0.9995223,0.0001058732,0.00006290251,0.0001017923,0.0001187118,0.00008843384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009222301,0.0003533793,0.002292536,0.0002280795,0.00006299457,0.0002092448,0.0003953763,0.01038167,0.03556701,0.004250753,0.01936396,0.9259727],"study_design_scores_gemma":[0.0001794177,0.001072901,0.002925148,0.00007621754,0.00007308718,0.0005257185,0.0006944036,0.8834699,0.06436535,0.01130904,0.03519806,0.0001107469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03040586,0.0002714811,0.9395424,0.0001101031,0.0001234574,0.0002861945,0.0007081719,0.02540343,0.00314896],"genre_scores_gemma":[0.2754388,0.0002099737,0.7082867,0.0002416812,0.0000632249,0.0005629671,0.002236601,0.001137903,0.01182215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01055796,"threshold_uncertainty_score":0.03531986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117794466823345,"score_gpt":0.3212287967160142,"score_spread":0.3000508520477808,"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."}}