{"id":"W4200342057","doi":"10.18332/popmed/143831","title":"Conducting comprehensive scoping reviews to systematically capture the landscape of a subject matter","year":2021,"lang":"en","type":"article","venue":"Population Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Subject matter; Subject (documents); Data science; Computer science; Psychology; 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":[0.3766253,0.004052723,0.00804515,0.04627062,0.006265671,0.0154139,0.00432061,0.006905863,0.01329411],"category_scores_gemma":[0.5631378,0.0033294,0.008658282,0.04017702,0.004699719,0.01465677,0.01102465,0.004551801,0.00575664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007652157,"about_ca_system_score_gemma":0.08455825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005098972,"about_ca_topic_score_gemma":0.01885551,"domain_scores_codex":[0.5655558,0.2538957,0.1172498,0.01076279,0.05010464,0.002431314],"domain_scores_gemma":[0.2457088,0.5411044,0.06660236,0.04154446,0.1019664,0.003073605],"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":[0.0003784272,0.0002678641,0.003951203,0.3883523,0.004718002,0.0007333805,0.01428913,0.001502535,0.004716608,0.02053007,0.06477281,0.4957877],"study_design_scores_gemma":[0.0003773168,0.0005685001,0.005266581,0.5933973,0.004954448,0.0007233743,0.009485612,0.001044904,0.003301781,0.03046078,0.3500829,0.0003365699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01125961,0.5183939,0.2568999,0.03205502,0.01030067,0.1241512,0.01171128,0.001664664,0.03356381],"genre_scores_gemma":[0.03197461,0.3549761,0.4602065,0.009020292,0.002646183,0.1286526,0.007332261,0.0007520589,0.004439497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6233747,"threshold_uncertainty_score":0.768732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7384078840573219,"score_gpt":0.530377742450638,"score_spread":0.208030141606684,"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."}}