{"id":"W1601513032","doi":"10.1023/a:1010876405429","title":"Researching the geography of health and health care: Connecting with the Third World","year":2000,"lang":"en","type":"article","venue":"GeoJournal","topic":"Silkworms and Sericulture Research","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Human geography; Health geography; Context (archaeology); Health care; Politics; Social geography; Commission; Regional science; Sociology; Political science; Geography; Public relations; Health policy; Social science; International health; Law","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":[0.004375682,0.0003694061,0.0004871101,0.004294614,0.00306074,0.007484189,0.0007360153,0.001990235,0.006373326],"category_scores_gemma":[0.01206924,0.0002135835,0.0002652093,0.006490357,0.01522676,0.008873989,0.00587827,0.002316417,0.0002678884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004556529,"about_ca_system_score_gemma":0.00841872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03302675,"about_ca_topic_score_gemma":0.05628341,"domain_scores_codex":[0.9971517,0.002191479,0.00006207346,0.00009973246,0.0002001105,0.0002949181],"domain_scores_gemma":[0.9847024,0.008539639,0.00238245,0.0009751964,0.0008669227,0.002533439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001042582,0.0001745567,0.2067163,0.000867291,0.0001633116,0.00080226,0.04686499,0.0009224868,0.0008918361,0.5377625,0.05590509,0.1488252],"study_design_scores_gemma":[0.00002476395,0.0001683666,0.1496314,0.001434542,0.00008824534,0.0006535688,0.2345547,0.0005502761,0.0007711388,0.247733,0.3643129,0.00007710935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.231022,0.09946455,0.004898173,0.5693361,0.002012005,0.00003719718,0.0005083292,0.00007096049,0.09265072],"genre_scores_gemma":[0.9130744,0.06413162,0.002401656,0.01484294,0.00148294,0.00004752296,0.0001447124,0.00003371423,0.003840557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03302675,"threshold_uncertainty_score":0.06566906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03585573533073141,"score_gpt":0.2975539327145614,"score_spread":0.2616981973838299,"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."}}