{"id":"W2039447193","doi":"10.7202/021446ar","title":"Mental Maps and Information Surfaces in Québec and Ontario","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Categorization, perception, and language","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental mapping; Geography; Psychology; Sociology; Cartography; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002059604,0.0001375098,0.0001379257,0.0003370238,0.0001401235,0.00005524992,0.0000706899,0.0001575939,0.0007324815],"category_scores_gemma":[0.00001845865,0.0001398704,0.00003669174,0.0002397829,0.0007827844,0.0005331304,0.00001508692,0.0001951803,0.00004842093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544638,"about_ca_system_score_gemma":0.0002116669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7604333,"about_ca_topic_score_gemma":0.9862695,"domain_scores_codex":[0.9992301,0.00005267309,0.0002364896,0.0001727784,0.00008514658,0.0002227841],"domain_scores_gemma":[0.9996164,0.00004808783,0.00006448656,0.000139799,0.0000245949,0.0001065952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008832588,0.00006312269,0.7662866,0.00001450724,0.00003775597,0.000004511119,0.1987103,0.00001122979,0.0001073366,0.006104147,0.005949704,0.02262249],"study_design_scores_gemma":[0.0009084817,0.00003962802,0.7735136,0.000005894173,0.00001671101,0.00005344578,0.004656409,0.00001782968,0.000007642545,0.0000785195,0.2205432,0.0001586369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907042,0.0009239822,0.00004859095,0.001277737,0.0001194673,0.0001785232,0.000008727365,0.00005168896,0.006687038],"genre_scores_gemma":[0.9952418,0.0002073495,0.00008802011,0.0008206692,0.00006161553,0.00002226505,0.00006484889,0.00001106262,0.003482417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2258362,"threshold_uncertainty_score":0.8020158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004082640502283313,"score_gpt":0.2086251502568964,"score_spread":0.2045425097546131,"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."}}