{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002860376,0.0006894239,0.0006880685,0.03491638,0.0006471373,0.003485953,0.001118288,0.0009466534,0.005221344],"category_scores_gemma":[0.02305219,0.000338132,0.00113275,0.06360963,0.0006111868,0.002445384,0.001515053,0.0007914927,0.002411107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562875,"about_ca_system_score_gemma":0.003745061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01817509,"about_ca_topic_score_gemma":0.02894498,"domain_scores_codex":[0.9966803,0.0003932017,0.0008697962,0.0006880805,0.001087266,0.000281372],"domain_scores_gemma":[0.963677,0.02051951,0.008614658,0.001161261,0.004913257,0.00111422],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006640321,0.00009754325,0.4584344,0.01861281,0.00136206,0.001644173,0.004630579,0.001388487,0.002548055,0.006308506,0.1953312,0.3089781],"study_design_scores_gemma":[0.00004426327,0.00006659155,0.5396844,0.006249704,0.0008688294,0.001022821,0.00390128,0.0009482153,0.002161419,0.002062671,0.4429098,0.00007992121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2232966,0.1441729,0.002382406,0.01370126,0.003501273,0.0001732767,0.5900574,0.0003158413,0.02239902],"genre_scores_gemma":[0.5293286,0.1163744,0.008250972,0.003400476,0.004718556,0.0004697079,0.3157159,0.0004392914,0.02130214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9971396,"threshold_uncertainty_score":0.03613859,"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."}}