{"id":"W6986431045","doi":"","title":"Planning, Localization, and Mapping for a Mobile Robot in a Camera Network","year":2007,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Balkans: History, Politics, Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile robot; Calibration; Fiducial marker; Robot; Motion planning; Camera auto-calibration; Camera resectioning; Simultaneous localization and mapping","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003836176,0.0002901209,0.0003920162,0.0001669392,0.002251111,0.00007649409,0.0003607373,0.000425187,0.00004926731],"category_scores_gemma":[0.0009232399,0.0003555337,0.0001399434,0.0006185957,0.0004408342,0.0005409715,0.0001027524,0.0004980118,0.00001914911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158079,"about_ca_system_score_gemma":0.00009498592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097458,"about_ca_topic_score_gemma":0.008310841,"domain_scores_codex":[0.9967574,0.0002807151,0.0006261622,0.0006274522,0.0004689162,0.001239344],"domain_scores_gemma":[0.9982172,0.0005947732,0.0002388765,0.0002947476,0.000241882,0.0004125369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001733728,0.0005343971,0.03270203,0.0003804592,0.0002181139,0.0001001545,0.008438995,0.01160247,0.002146547,0.8860897,0.0009477956,0.05666598],"study_design_scores_gemma":[0.001121948,0.00009915652,0.004522085,0.0002031317,0.00003564298,0.00000570315,0.007370615,0.0003074304,0.0002877247,0.0216585,0.9637056,0.0006824343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916482,0.002385474,0.0005965601,0.0001089293,0.001689552,0.002422604,0.0001914401,0.0004957736,0.07562765],"genre_scores_gemma":[0.9929009,0.0001168303,0.003886722,0.001504402,0.0002482138,0.0001351497,0.00001989903,0.00007002425,0.001117876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9627578,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945248705180861,"score_gpt":0.2915112488490408,"score_spread":0.2620587617972323,"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."}}