{"id":"W2161331788","doi":"10.1109/robot.2010.5509464","title":"Online navigation summaries","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Surprise; Extension (predicate logic); Computer science; Artificial intelligence; Robot; Task (project management); Image (mathematics); Path (computing); Computer vision; Set (abstract data type); Measure (data warehouse); Bayesian probability; Data mining","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":[0.0003441586,0.001145244,0.001054256,0.001330229,0.0006744855,0.001147756,0.001275361,0.0009987521,0.02623464],"category_scores_gemma":[0.003414249,0.0003481828,0.0004977572,0.001162386,0.0001957488,0.002635213,0.001483889,0.0008508972,0.007970255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931657,"about_ca_system_score_gemma":0.0006514902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565672,"about_ca_topic_score_gemma":0.003626613,"domain_scores_codex":[0.9995839,0.00005309407,0.0000268526,0.0001465535,0.0001509941,0.00003861567],"domain_scores_gemma":[0.9989814,0.0002748505,0.0001181516,0.0002661692,0.0002722947,0.00008700207],"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":[0.0009946114,0.000160218,0.001850549,0.0006803622,0.00007968517,0.000419924,0.0003575619,0.03400423,0.02020135,0.0149037,0.088514,0.8378338],"study_design_scores_gemma":[0.0003007728,0.00138445,0.006380009,0.0002699702,0.0003193062,0.001752358,0.001253765,0.4983304,0.06454054,0.09760428,0.3276605,0.0002036575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06424294,0.003695888,0.8663577,0.001465275,0.000766539,0.000484167,0.0114678,0.02060632,0.03091336],"genre_scores_gemma":[0.4690749,0.001783661,0.4664142,0.0003865176,0.0004446835,0.000353603,0.02048304,0.001631892,0.03942763],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02623464,"threshold_uncertainty_score":0.08776355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283330155521675,"score_gpt":0.2962821749347962,"score_spread":0.2834488733795795,"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."}}