{"id":"W1967777696","doi":"10.3138/carto.49.2.1393","title":"Mapping Mental Representations of Industrial Risk: Illustrated with the Populations of the Estuary of the Seine River, France","year":2014,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Social Representations and Identity","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subconscious; Mental mapping; Worry; Psychology; Perception; Subject (documents); Mental representation; Geography; Data science; Social psychology; Computer science; Cognition; Medicine; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001857707,0.000427343,0.0003080392,0.002598391,0.004059578,0.00294739,0.0008450993,0.001045223,0.002437851],"category_scores_gemma":[0.003435424,0.0002339457,0.0003308033,0.002467896,0.005581614,0.001944326,0.003723824,0.0007658508,0.0001138983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495818,"about_ca_system_score_gemma":0.0009407264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06207051,"about_ca_topic_score_gemma":0.09572873,"domain_scores_codex":[0.9981034,0.001494172,0.00002646612,0.00009249486,0.0001384327,0.0001451203],"domain_scores_gemma":[0.9979779,0.001436319,0.0002002168,0.0001286347,0.0001493772,0.0001074918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003756837,0.00003294507,0.01522762,0.00006004382,0.00001295231,0.001509177,0.9696181,0.0001952505,0.0006506504,0.002767095,0.0003477032,0.009541017],"study_design_scores_gemma":[0.000005122856,0.00004713336,0.02852838,0.00004423346,0.000008403996,0.0004572184,0.962741,0.0002915158,0.0001928016,0.001311753,0.006351355,0.00002104038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921251,0.0001723733,0.001538125,0.000634902,0.000007944682,0.00003658124,0.0000664044,0.00001160621,0.005406939],"genre_scores_gemma":[0.9978562,0.0001523295,0.0008975168,0.00004561643,0.000005605047,0.00003062539,0.00003126483,0.000003929168,0.0009768988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06207051,"threshold_uncertainty_score":0.1234185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372818236953426,"score_gpt":0.320868836827483,"score_spread":0.2971406544579487,"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."}}