{"id":"W4409307409","doi":"10.58812/wsis.v3i03.1783","title":"A Bibliometric Analysis of the Ethical and Social Implications of AI","year":2025,"lang":"en","type":"article","venue":"West Science Interdisciplinary Studies","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Strong","keywords":"Sociology; Engineering ethics; Management science; Psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","sts"],"consensus_categories":["bibliometrics","sts"],"category_scores_codex":[0.002818133,0.00007398556,0.0003135552,0.01402756,0.002830616,0.00008827476,0.0006654687,0.000114057,0.000007569395],"category_scores_gemma":[0.002319603,0.0000512955,0.0001579474,0.1480284,0.01022377,0.0002746193,0.001418526,0.0003242871,3.854803e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009337951,"about_ca_system_score_gemma":0.000529964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003608504,"about_ca_topic_score_gemma":0.003727584,"domain_scores_codex":[0.9985794,0.0001342913,0.0002991188,0.0002198153,0.0005361479,0.0002312688],"domain_scores_gemma":[0.9975346,0.0007357494,0.0001629963,0.0001843366,0.001341105,0.00004117269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009727515,0.000103857,0.1542891,0.00004945739,0.00061878,1.939937e-7,0.1853274,0.00001514746,0.001099143,0.6508917,0.002065544,0.005529955],"study_design_scores_gemma":[0.00004936644,0.00002715116,0.8848125,0.00003206635,0.0002715031,5.397395e-8,0.04018106,0.00002550238,0.00009621413,0.07420709,0.0002418101,0.00005561687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7462091,0.0003022578,0.00004626143,0.2376794,0.0002131496,0.0001212663,0.0000167962,0.00001132316,0.01540034],"genre_scores_gemma":[0.9985858,0.0001678328,0.00004005579,0.0009573291,0.00002399278,0.000007150484,2.548761e-7,0.000001624709,0.0002159814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7305234,"threshold_uncertainty_score":0.9984676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07821582715018759,"score_gpt":0.5033487503230982,"score_spread":0.4251329231729106,"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."}}