{"id":"W3172254362","doi":"10.29173/irie415","title":"Constructing AI: Examining how AI is shaped by data, models and people","year":2021,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Context (archaeology); Artificial intelligence; Computer science; Data science; Big data; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.03297205,0.0007967876,0.0007405166,0.005324495,0.004426291,0.01628462,0.002639976,0.004214685,0.002735539],"category_scores_gemma":[0.05057081,0.0006066068,0.0006949281,0.005139248,0.06624226,0.02218981,0.006466957,0.006232151,0.0006573253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008727837,"about_ca_system_score_gemma":0.0122429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006295036,"about_ca_topic_score_gemma":0.004182498,"domain_scores_codex":[0.9544624,0.03897793,0.0008238505,0.001446774,0.003352627,0.0009362869],"domain_scores_gemma":[0.9113919,0.07530975,0.003647568,0.004179944,0.004209935,0.001260868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001447437,0.00002840877,0.001919464,0.0005034748,0.00004327859,0.0001122759,0.02256303,0.0008627814,0.0001631359,0.9489253,0.003326125,0.02153824],"study_design_scores_gemma":[0.000009182458,0.00002544097,0.001426995,0.001375314,0.00002344291,0.0001517957,0.01595537,0.001102928,0.0002870246,0.8708944,0.1087256,0.0000225577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05160362,0.1117656,0.2226357,0.2510991,0.001750804,0.0003710182,0.0002190573,0.0002142288,0.360341],"genre_scores_gemma":[0.8410571,0.07764086,0.05281601,0.01730724,0.000919673,0.0005409847,0.0002079201,0.0002947423,0.009215435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9955737,"threshold_uncertainty_score":0.1743749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607524166623108,"score_gpt":0.4325197418316919,"score_spread":0.2717673251693811,"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."}}