{"id":"W2086679795","doi":"10.1016/s0277-9536(01)00210-6","title":"The role of French-language contributors to the development of medical geography (1782–1933)","year":2002,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Geographer; Encyclopedia; Health geography; Historical geography; Human geography; Language geography; History; Geography; Classics; Cartography; Political science; Law; Economic geography; Health policy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002574992,0.0003854316,0.0002610071,0.002463961,0.002311789,0.001900124,0.000579139,0.0007322894,0.007478128],"category_scores_gemma":[0.005615926,0.0001599841,0.0002112781,0.002632068,0.002537565,0.000997244,0.001201023,0.001052432,0.0004444894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01119607,"about_ca_system_score_gemma":0.006273457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3037951,"about_ca_topic_score_gemma":0.3274727,"domain_scores_codex":[0.9985997,0.0006727878,0.0000391679,0.0001567294,0.0001189321,0.0004127408],"domain_scores_gemma":[0.9963682,0.001650666,0.0005199946,0.0001543629,0.0008447352,0.0004620962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001055576,0.0002157527,0.2075517,0.0005446721,0.000258403,0.004332311,0.09449581,0.00299708,0.003256776,0.410121,0.0201871,0.2549838],"study_design_scores_gemma":[0.00005913295,0.000153513,0.5676391,0.0003649497,0.0001045886,0.001220621,0.01073796,0.001284846,0.001834792,0.0104316,0.4060868,0.00008218978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8376673,0.01888013,0.001460491,0.01934545,0.0003903322,0.00002777956,0.0005747863,0.00003844128,0.1216152],"genre_scores_gemma":[0.9864714,0.002146868,0.0004633109,0.0002546484,0.0001431434,0.000006104882,0.00007271971,0.00001390584,0.01042796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9976882,"threshold_uncertainty_score":0.6040536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801035504531939,"score_gpt":0.302823284675716,"score_spread":0.2848129296303966,"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."}}