{"id":"W2893105950","doi":"10.30577/jba.2018.v1n2.13","title":"Conducting Comprehensive Environmental Scans in Health Research: A Process for Assessing the Subject Matter Landscape","year":2018,"lang":"en","type":"article","venue":"Journal of Biomedical Analytics","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Process (computing); Subject matter; Subject (documents); Environmental impact assessment; Computer science; Data science; Environmental research; Environmental planning; Management science; Environmental resource management; Engineering; Psychology; Political science; Environmental science; World Wide Web","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.304669,0.001804206,0.001953354,0.01125522,0.01298499,0.01424165,0.004679958,0.006447751,0.007442555],"category_scores_gemma":[0.2836725,0.002590785,0.002196339,0.008383529,0.015103,0.0149249,0.02415941,0.01183771,0.004890109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006658352,"about_ca_system_score_gemma":0.04306487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005205895,"about_ca_topic_score_gemma":0.01198624,"domain_scores_codex":[0.7297965,0.2277467,0.01096301,0.008152407,0.02074097,0.00260041],"domain_scores_gemma":[0.5799558,0.3076344,0.01492905,0.04067022,0.04978905,0.007021428],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004119659,0.0007806128,0.0129537,0.003717919,0.0001905986,0.001928586,0.3071896,0.001846039,0.01669352,0.09017434,0.04481651,0.5192966],"study_design_scores_gemma":[0.0001950233,0.0008240445,0.01713235,0.006269936,0.0001715232,0.001836851,0.1731863,0.003515734,0.01084242,0.3284927,0.4569632,0.0005699596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02379749,0.002250779,0.8592418,0.04218578,0.0008072695,0.03271612,0.001006827,0.00188592,0.03610804],"genre_scores_gemma":[0.03627856,0.0009332361,0.9437503,0.002738025,0.0002057426,0.0131038,0.0002589996,0.0002564787,0.002474812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.695331,"threshold_uncertainty_score":0.8574669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1455877047456521,"score_gpt":0.3861242832406557,"score_spread":0.2405365784950036,"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."}}