{"id":"W2977668213","doi":"10.1016/j.healthplace.2019.102207","title":"The evolution of Health &amp; Place: Text mining papers published between 1995 and 2018","year":2019,"lang":"en","type":"article","venue":"Health & Place","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Liverpool","keywords":"Neighbourhood (mathematics); Context (archaeology); Health geography; Geography; Regional science; Data science; Health policy; Sociology; Public health; Medicine; International health; Computer science; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.002585957,0.000175069,0.0005956467,0.00009420202,0.0002471212,0.00003181583,0.000155963,0.0000790964,0.000124675],"category_scores_gemma":[0.0005009946,0.0001208542,0.00005437798,0.0003020939,0.0001277673,0.0001516227,0.00009005079,0.0002515278,0.00009950514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005842544,"about_ca_system_score_gemma":0.001678697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002226415,"about_ca_topic_score_gemma":0.0007437509,"domain_scores_codex":[0.9974915,0.0003838025,0.0006600053,0.0004137387,0.0004605071,0.0005904282],"domain_scores_gemma":[0.997587,0.0006588511,0.0005028364,0.0007362413,0.00008531042,0.0004298125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004830499,0.00007558467,0.6724453,0.00136528,0.00008322129,0.000001209284,0.001191205,0.00001407352,0.00005250821,0.0001879882,0.2957545,0.02834612],"study_design_scores_gemma":[0.001624388,0.0003731436,0.6088247,0.0003646391,0.00001430154,0.00001248316,0.000953006,0.0001114156,0.000001988589,0.00001906911,0.3875825,0.0001183576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348572,0.01322258,0.00007493477,0.04521947,0.0004998004,0.001754485,0.0003782696,0.0001587862,0.003834449],"genre_scores_gemma":[0.9918329,0.0006790588,0.0008428736,0.001743594,0.0001607893,0.00001866046,0.0003833556,0.00003697789,0.004301822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09182805,"threshold_uncertainty_score":0.4928293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825108189954621,"score_gpt":0.3034365026790788,"score_spread":0.2851854207795326,"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."}}