{"id":"W4403011533","doi":"10.1007/s00146-024-02088-7","title":"Galactica’s dis-assemblage: Meta’s beta and the omega of post-human science","year":2024,"lang":"en","type":"article","venue":"AI & Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Agence Nationale de la Recherche","keywords":"Argument (complex analysis); Assemblage (archaeology); Assertion; Sociology; Epistemology; Automatic summarization; Set (abstract data type); Computer science; Artificial intelligence; Philosophy; History; Medicine","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":["sts"],"category_scores_codex":[0.005688404,0.0001117545,0.0002501273,0.00002540115,0.001790816,0.0007329176,0.0004453901,0.0001316646,0.00005829808],"category_scores_gemma":[0.0005570615,0.00007088868,0.0003605767,0.0005953186,0.006021552,0.0008702494,0.0001568111,0.0004504702,0.000008094866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008052371,"about_ca_system_score_gemma":0.0007652923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934109,"about_ca_topic_score_gemma":0.001303179,"domain_scores_codex":[0.9982161,0.0001782453,0.0001937529,0.0002594729,0.0007853762,0.0003670415],"domain_scores_gemma":[0.9984577,0.0007213756,0.00006447404,0.0002156056,0.0003939181,0.0001468745],"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":[0.000003411216,0.0000227663,0.0001145747,0.000035663,0.0002430998,9.860556e-7,0.1426268,2.183904e-7,0.001898774,0.8506855,0.003817945,0.0005502867],"study_design_scores_gemma":[0.001919853,0.0003781051,0.02688401,0.0001975706,0.003934945,0.000005502083,0.2338727,0.0005527184,0.002098228,0.5703148,0.158603,0.001238515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5188198,0.007041645,0.00009562276,0.3826186,0.0008171259,0.0006420246,0.00003122646,0.0002061206,0.08972783],"genre_scores_gemma":[0.9948382,0.001001913,0.0001073886,0.002789491,0.0001830327,0.00000803766,0.000001247925,0.00001067601,0.001060051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4760183,"threshold_uncertainty_score":0.9995087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615931990498427,"score_gpt":0.4021077554647154,"score_spread":0.3559484355597312,"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."}}