{"id":"W4366207492","doi":"10.7202/1098566ar","title":"The Blessings of Books","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Bioethics","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Witness; Opposition (politics); Authoritarianism; Nazism; Political science; Law; Population; State (computer science); History; Sociology; Politics; Demography; Computer science; Democracy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002160439,0.00002992415,0.00006838642,0.0001286278,0.0006138051,0.00007950403,0.000245977,0.00008799166,0.00004015524],"category_scores_gemma":[0.001222239,0.00002087402,0.00005405335,0.0002557509,0.001009369,0.00008504058,0.000005379806,0.0002030842,0.00001484972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004634315,"about_ca_system_score_gemma":0.002507476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02361611,"about_ca_topic_score_gemma":0.2120437,"domain_scores_codex":[0.9992175,0.0001160513,0.0002006251,0.00003036177,0.0002708492,0.0001646475],"domain_scores_gemma":[0.9988478,0.0002992919,0.0001953563,0.00006878024,0.0003126417,0.0002761095],"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":[0.00001400694,0.000004765555,0.002206023,0.0000156332,0.0000262364,0.00004796635,0.04618667,0.00004377988,0.0006484917,0.6292038,0.2919083,0.02969439],"study_design_scores_gemma":[0.0001448225,0.00003796914,0.001372367,0.0001189383,0.000008746831,0.000003549689,0.02546037,0.00003974109,0.0005605212,0.03057976,0.9416115,0.00006170698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2880929,0.004479826,0.0004021225,0.3758838,0.009471091,0.0003277911,0.00003225609,0.00005792323,0.3212523],"genre_scores_gemma":[0.9964422,0.0002859621,0.0001211827,0.0002724204,0.0002059359,2.586836e-7,3.378265e-7,0.000004008927,0.002667707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7083492,"threshold_uncertainty_score":0.9828857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060483212759799,"score_gpt":0.3703668160914984,"score_spread":0.2643184948155185,"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."}}