{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003593653,0.0003529382,0.0004582331,0.00007852331,0.0001000967,0.000105605,0.0004209953,0.0004855109,0.00002852903],"category_scores_gemma":[0.0001738162,0.0004195479,0.0001411934,0.0001649902,0.0001110391,0.0001834133,0.0001624769,0.0003203823,0.00003850429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796396,"about_ca_system_score_gemma":0.0001660359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000909408,"about_ca_topic_score_gemma":0.000008799311,"domain_scores_codex":[0.9983968,0.00005229231,0.0005270545,0.0004325755,0.0003134475,0.0002778198],"domain_scores_gemma":[0.9979768,0.00002483665,0.000347616,0.001069787,0.0004362099,0.0001447229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008239846,0.0002681188,0.3135779,0.005808309,0.0003037773,0.00007089165,0.00002815725,0.002595156,0.6761033,0.000428264,0.000469803,0.000263926],"study_design_scores_gemma":[0.0004026648,0.00002688809,0.5992218,0.0009088657,0.00009502748,1.264482e-8,8.171685e-7,0.01002105,0.3884048,0.00002946026,0.0003044536,0.0005842089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944998,0.0003316861,0.002018801,0.00001186724,0.001621368,0.0004412092,0.0005518936,0.0004743153,0.0000490492],"genre_scores_gemma":[0.9983575,0.00007980773,0.001200219,0.0000108197,0.0002208788,0.00007372606,0.000001117266,0.00005549424,4.581409e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2876986,"threshold_uncertainty_score":0.9998257,"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."}}