{"id":"W2953337356","doi":"10.1016/j.ypmed.2019.105752","title":"The planning and reporting of mixed methods studies on the built environment and health","year":2019,"lang":"en","type":"review","venue":"Preventive Medicine","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Built environment; Multimethodology; Management science; Field (mathematics); Medicine; Qualitative research; Data science; Research design; Population; Population health; Computer science; Environmental health; Engineering; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.5165763,0.003409715,0.01432541,0.0176802,0.0025983,0.01670768,0.01125667,0.009097641,0.007778744],"category_scores_gemma":[0.786246,0.003559874,0.01343474,0.01453705,0.005575022,0.01535765,0.009265767,0.007405941,0.00129049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039807,"about_ca_system_score_gemma":0.04004369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009018259,"about_ca_topic_score_gemma":0.01701871,"domain_scores_codex":[0.3829374,0.4341323,0.1295193,0.01125555,0.03976837,0.002387075],"domain_scores_gemma":[0.09643042,0.7890446,0.05081947,0.03021615,0.03196944,0.001519992],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0008765452,0.0002190544,0.004765517,0.5454319,0.02771989,0.0001381841,0.001215011,0.0008250008,0.0005451549,0.01224966,0.01155082,0.3944633],"study_design_scores_gemma":[0.001538288,0.001214684,0.0125403,0.7387053,0.06309225,0.0004366765,0.002473022,0.002188756,0.001970507,0.04977587,0.1257014,0.0003628708],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0024622,0.887641,0.0616781,0.01785521,0.008361791,0.01502052,0.00356625,0.0001792263,0.003235621],"genre_scores_gemma":[0.06252789,0.5668138,0.266489,0.02266979,0.005809668,0.07042297,0.003619569,0.0002574758,0.00138975],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4834237,"threshold_uncertainty_score":0.5961475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9408566449874244,"score_gpt":0.8089412627411068,"score_spread":0.1319153822463176,"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."}}