{"id":"W4394806299","doi":"10.5210/fm.v29i4.13628","title":"Debunking robot rights metaphysically, ethically, and legally","year":2024,"lang":"en","type":"article","venue":"First Monday","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Injustice; Human rights; Sociology; Metaphysics; Law and economics; Law; Politics; Economic Justice; Political science; Epistemology; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001276666,0.0001349355,0.0001910851,0.00007020805,0.001308664,0.0009923265,0.0003203925,0.0003000579,0.0001653015],"category_scores_gemma":[0.0006855869,0.0001147104,0.0001135391,0.0003028363,0.0004934035,0.0005681787,0.0001165093,0.0006507494,0.00009465278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006456886,"about_ca_system_score_gemma":0.0002266354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005411033,"about_ca_topic_score_gemma":0.003338985,"domain_scores_codex":[0.9984389,0.0001547786,0.0001793067,0.0003068141,0.000530011,0.0003901761],"domain_scores_gemma":[0.998692,0.0007094709,0.00003270951,0.0001876696,0.0001359757,0.0002421497],"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":[0.000007383824,0.00005030367,0.0001338896,0.00007190771,0.0001237355,0.00008060155,0.3017124,0.00001141155,0.0003710241,0.671495,0.02124451,0.004697869],"study_design_scores_gemma":[0.00006444023,0.00003403309,0.0008053973,0.0001041726,0.00003379989,8.108894e-7,0.0001850238,0.0001217593,0.00008424666,0.1449335,0.8534543,0.0001784892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2867921,0.004647856,0.001108145,0.4909408,0.00304619,0.0005847053,0.00002550814,0.001136663,0.211718],"genre_scores_gemma":[0.9931195,0.0003011172,0.0009583507,0.0008401257,0.0007122969,0.00000810951,0.000002645613,0.00001780346,0.004040004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8322098,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576632237155003,"score_gpt":0.3506093083718553,"score_spread":0.3248429860003053,"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."}}