{"id":"W4293318919","doi":"10.29173/irie477","title":"Human Where?","year":2022,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expansive; Intermediary; Novelty; Sociology; Scale (ratio); Epistemology; Engineering ethics; Knowledge management; Computer science; Psychology; Business; Engineering; Social psychology; Philosophy; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009171986,0.00004258259,0.00008652201,0.00004170251,0.001211968,0.00006416035,0.0007571322,0.00004567124,0.002066556],"category_scores_gemma":[0.003826828,0.00003401675,0.00008128653,0.0001705065,0.0001995193,0.0006434423,0.000147814,0.0007309028,0.00003166877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135232,"about_ca_system_score_gemma":0.0004596215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217498,"about_ca_topic_score_gemma":0.0002158549,"domain_scores_codex":[0.9976853,0.0003264009,0.0003587625,0.00003321864,0.001507186,0.00008910972],"domain_scores_gemma":[0.9982694,0.0003885526,0.0003590971,0.0001157881,0.0008363416,0.00003078289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000130617,0.000009516631,0.00001941633,0.0002046367,0.00001416793,7.864657e-8,0.02015046,0.0000196859,0.000003899558,0.9409125,0.03636001,0.002304312],"study_design_scores_gemma":[0.000049763,0.00001394634,0.0001088093,0.000302331,0.000006720235,6.095736e-7,0.00472318,0.0000110018,0.000003916796,0.03384093,0.9608955,0.00004323488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007918264,0.002639825,0.0001664838,0.4843845,0.0008326458,0.0003076387,0.00004197414,0.00003195149,0.5108031],"genre_scores_gemma":[0.7559839,0.07247891,0.0002528097,0.1661703,0.0004259495,0.00009700064,0.0001136468,0.00001132415,0.004466213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9245356,"threshold_uncertainty_score":0.9988457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08090227607375383,"score_gpt":0.4434107568049751,"score_spread":0.3625084807312213,"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."}}