{"id":"W2043560067","doi":"10.1080/17470218.2013.821145","title":"Local and Global Reference Frames for Environmental Spaces","year":2013,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Reference frame; Frame of reference; Computer science; Reference data; Frame (networking); Orientation (vector space); Artificial intelligence; Oblique case; Computer vision; Motion (physics); Psychology; Communication; Cognitive psychology; Mathematics; Data mining; Geometry; Telecommunications; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004010425,0.00008945743,0.0001239077,0.00003352978,0.00002585011,0.00002687587,0.00006216297,0.00007153193,0.0002800957],"category_scores_gemma":[0.000001246016,0.00008214675,0.00003707426,0.00002353403,0.00007918969,0.0001960634,0.000002965877,0.00008158184,0.00003323654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003821094,"about_ca_system_score_gemma":0.00000260284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003623257,"about_ca_topic_score_gemma":9.158379e-7,"domain_scores_codex":[0.9995,0.00001664834,0.000215557,0.00007815924,0.00007317754,0.0001164919],"domain_scores_gemma":[0.9997774,0.0000180329,0.00005914352,0.00005094181,0.00001401282,0.00008047474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002539902,0.0003168909,0.001830813,0.00001915286,0.0001411457,0.00001224169,0.001651972,0.00003127628,0.623515,0.0007380408,0.009793029,0.3616965],"study_design_scores_gemma":[0.04034586,0.06618842,0.2729669,0.0004400555,0.0002704106,0.006310435,0.08743127,0.02082959,0.3993568,0.04914388,0.05300158,0.003714802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740012,0.001459675,0.02241263,0.0001318719,0.0003834723,0.0001235268,0.00001058901,0.00001775924,0.001459307],"genre_scores_gemma":[0.9983661,0.00002592112,0.001341015,0.0001739554,0.00005963856,0.00001249716,0.000005341935,0.00000818619,0.000007378534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3579817,"threshold_uncertainty_score":0.3349847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485804091601614,"score_gpt":0.2936747031251948,"score_spread":0.2788166622091787,"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."}}