{"id":"W36051863","doi":"10.1177/24730114221119735","title":"Multi-Media Map for Visual Navigation","year":2001,"lang":"en","type":"article","venue":"Foot & Ankle Orthopaedics","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Landmark; Computer vision; Perspective (graphical); Artificial intelligence; Computer science; Projection (relational algebra); Visualization; Road map; Geography; Cartography; Computer graphics (images)","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":[0.001775912,0.0004037774,0.0004095825,0.0008558028,0.0009073716,0.001026049,0.0007511067,0.0009073507,0.01584607],"category_scores_gemma":[0.009866025,0.0006134827,0.001007864,0.001094747,0.0004682035,0.001486814,0.0005234665,0.0006494595,0.001790856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734428,"about_ca_system_score_gemma":0.0007357558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009503032,"about_ca_topic_score_gemma":0.01025848,"domain_scores_codex":[0.9989507,0.0003141103,0.0001672586,0.0002472662,0.0001575781,0.0001630059],"domain_scores_gemma":[0.9971432,0.0009162655,0.0006517691,0.0008293177,0.0002990369,0.0001603626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001511548,0.0002275445,0.9913337,0.0001330532,0.0003062116,0.000295806,0.0001503727,0.00009733449,0.0003095686,0.0001522465,0.001809073,0.003673682],"study_design_scores_gemma":[0.0002912699,0.001284423,0.9928522,0.00008544393,0.0003503528,0.0007348573,0.0004852414,0.0003700462,0.000279613,0.0003803672,0.002854399,0.00003173612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978546,0.001139088,0.002448794,0.0002787625,0.0001454232,0.0003958606,0.01055731,0.00006970858,0.006418969],"genre_scores_gemma":[0.9936922,0.0001859881,0.0005609968,0.0001326576,0.00005578611,0.0003767292,0.001736013,0.00002080255,0.003238919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584607,"threshold_uncertainty_score":0.0530104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151923994131801,"score_gpt":0.2678017242320187,"score_spread":0.2462824842907007,"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."}}