{"id":"W1587254963","doi":"10.1023/a:1008939729190","title":"On the Automated Construction of Image-Based Maps","year":2000,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Viewpoints; Artificial intelligence; Set (abstract data type); Robotics; Traverse; Representation (politics); Human–computer interaction; Task (project management); Robot; Computer vision; Observer (physics); Virtual machine","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":[0.0004507895,0.0006603326,0.0008949175,0.001137619,0.0005696793,0.001277077,0.001862363,0.0009305674,0.003733039],"category_scores_gemma":[0.003289105,0.0005412576,0.0005976719,0.0009523156,0.0009347657,0.001756667,0.002073983,0.0007606206,0.0009769934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000535318,"about_ca_system_score_gemma":0.0008709398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009466713,"about_ca_topic_score_gemma":0.01026622,"domain_scores_codex":[0.9995783,0.00008916303,0.0000174461,0.0001182016,0.0001368987,0.00005999136],"domain_scores_gemma":[0.9987256,0.0005905261,0.00009417763,0.0003237102,0.0002100008,0.00005596974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002569284,0.0001113117,0.001167078,0.000218943,0.00008357795,0.0001634158,0.0003048552,0.159059,0.02576961,0.0422269,0.008482953,0.7621554],"study_design_scores_gemma":[0.00002192373,0.00004102627,0.0009332733,0.00001331807,0.00001670649,0.00007413455,0.00004687568,0.937754,0.007377641,0.05060942,0.003098929,0.00001267491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.014213,0.0003075173,0.9813972,0.0001427965,0.00003360746,0.000041123,0.00008506171,0.00178435,0.001995394],"genre_scores_gemma":[0.4329103,0.0004900485,0.5618143,0.000123917,0.00008197033,0.00009243706,0.0004647844,0.0004136942,0.003608565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009466713,"threshold_uncertainty_score":0.01882321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125720792428011,"score_gpt":0.244768724714725,"score_spread":0.2335115167904449,"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."}}