{"id":"W4383312253","doi":"10.11647/obp.0338.02","title":"2. Having Too Much","year":2023,"lang":"en","type":"book-chapter","venue":"Open Book Publishers","topic":"Political Philosophy and Ethics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Universiteit van Amsterdam; Universiteit Leiden; Universiteit Utrecht; York University; London School of Economics and Political Science; University of Victoria","keywords":"Argument (complex analysis); Doctrine; Reprint; Epistemology; Law and economics; Politics; Power (physics); Philosophy; Democracy; Positive economics; Political science; Sociology; Law; Economics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001887444,0.0002867186,0.000421337,0.0001430689,0.0008979129,0.004024557,0.002163058,0.000986947,0.005819968],"category_scores_gemma":[0.0009648337,0.0003060204,0.000200962,0.00008720512,0.0008767754,0.003403424,0.000758705,0.001145438,0.002796395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003514398,"about_ca_system_score_gemma":0.001417236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004303927,"about_ca_topic_score_gemma":0.001536236,"domain_scores_codex":[0.9973771,0.00008683487,0.0003546174,0.0005765514,0.0009027317,0.0007021579],"domain_scores_gemma":[0.9981139,0.0004601213,0.0001591628,0.0005217143,0.0002298435,0.0005152521],"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":[0.000003193341,0.000004153752,0.000001228611,0.000008798595,0.00002840403,0.00002093028,0.0008147287,1.454294e-7,1.231024e-7,0.6374342,0.3607011,0.0009829926],"study_design_scores_gemma":[0.00006467295,0.00001025848,0.00000224358,0.00007158009,0.00002046948,2.589843e-7,0.0002316666,3.990662e-7,3.422626e-7,0.4415866,0.557788,0.0002235876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[6.500721e-7,0.0001336734,0.000002697649,0.0399759,0.001483161,0.0005379051,0.00004178381,0.0002211198,0.9576031],"genre_scores_gemma":[0.0002966024,0.000126954,0.00006462836,0.007707485,0.00119085,0.00002507886,0.00005975603,0.00009175083,0.9904369],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1970868,"threshold_uncertainty_score":0.9999392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1527194507138643,"score_gpt":0.3660377846243836,"score_spread":0.2133183339105193,"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."}}