{"id":"W4389242726","doi":"10.3390/world4040051","title":"Social Impact Measurement: A Systematic Literature Review and Future Research Directions","year":2023,"lang":"en","type":"article","venue":"World","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Employment and Social Development Canada; University of Waterloo","keywords":"Thematic analysis; Globe; Systematic review; Intervention (counseling); Field (mathematics); Management science; Psychology; Data science; Sociology; Qualitative research; Political science; Social science; Computer science; Engineering; MEDLINE","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":[],"consensus_categories":[],"category_scores_codex":[0.1552745,0.001969702,0.0077027,0.0335369,0.002096426,0.008208805,0.003327268,0.003463572,0.007133307],"category_scores_gemma":[0.3223072,0.001746729,0.007690915,0.03263815,0.003863607,0.01297144,0.004476526,0.003812916,0.000800233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01334872,"about_ca_system_score_gemma":0.06681301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009727295,"about_ca_topic_score_gemma":0.02893044,"domain_scores_codex":[0.895926,0.05452909,0.02756599,0.003654367,0.01626973,0.002054907],"domain_scores_gemma":[0.543371,0.3649604,0.02992504,0.00757186,0.0516988,0.002472926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002261989,0.0001231029,0.003069166,0.7238051,0.003552492,0.0001574204,0.001966754,0.0004271519,0.00019241,0.005359502,0.007978296,0.2531424],"study_design_scores_gemma":[0.00008208539,0.0001858874,0.003777974,0.941349,0.006578249,0.0002217879,0.002605747,0.0002955352,0.000157647,0.004134458,0.04055505,0.00005643008],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001404008,0.9867933,0.001665001,0.007436082,0.000727319,0.0007018303,0.0003319095,0.00003169612,0.0009087159],"genre_scores_gemma":[0.02125653,0.9640948,0.008124335,0.003103684,0.0005047353,0.002346229,0.000364914,0.00002580276,0.0001788899],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1552745,"threshold_uncertainty_score":0.8211797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1809777204528912,"score_gpt":0.3768456890247983,"score_spread":0.1958679685719071,"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."}}