{"id":"W2754088747","doi":"10.1101/188870","title":"Global determinants of navigation ability","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Cognition; Inequality; Cluster analysis; Spatial cognition; Scale (ratio); Space (punctuation); Task (project management); Geography; Cognitive test; Test (biology); Cognitive map; Cognitive psychology; Psychology; Cartography; Computer science; Artificial intelligence; Mathematics; Ecology; Economics","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":[0.0005421648,0.0002548445,0.0002578554,0.0009536553,0.0002568908,0.0009912362,0.0001921544,0.0002133161,0.00690896],"category_scores_gemma":[0.003985072,0.00007260798,0.0002482509,0.00180286,0.0005833605,0.000780202,0.0009297932,0.000392425,0.0004986388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325163,"about_ca_system_score_gemma":0.0002164066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006121264,"about_ca_topic_score_gemma":0.007960086,"domain_scores_codex":[0.9996119,0.0001035552,0.00002958063,0.0001171141,0.00006000516,0.00007783633],"domain_scores_gemma":[0.9974329,0.0008041305,0.0008849511,0.0002707799,0.0002754325,0.0003317985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004094986,0.0000306607,0.9798595,0.00005409682,0.0001679652,0.00006971195,0.0006039335,0.0008188167,0.0002790191,0.001880216,0.000857499,0.01533761],"study_design_scores_gemma":[0.000001285678,0.00002614031,0.9963158,0.00002590767,0.00002087722,0.00006311093,0.0006221944,0.0004281963,0.00009971111,0.001055206,0.001334079,0.000007590459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883043,0.0005661436,0.001125484,0.0003373297,0.00001400094,0.00000721792,0.00137779,0.00002452898,0.008243336],"genre_scores_gemma":[0.9990351,0.0001002458,0.0001825611,0.00001797026,0.000006050309,0.000003758754,0.0003604894,0.000004903171,0.0002889541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00690896,"threshold_uncertainty_score":0.02311277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567180755344555,"score_gpt":0.2460665122136917,"score_spread":0.2303947046602462,"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."}}