{"id":"W4232561879","doi":"10.31219/osf.io/2huft","title":"How to Do Better: Toward Normalizing Experimentation in Epistemology","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Epistemology, Ethics, and Metaphysics","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Epistemology of Wikipedia; Epistemology; Introspection; Social epistemology; Formal epistemology; Philosophy; Meta-epistemology; Commonsense knowledge; Experimental philosophy; Commonsense reasoning; Field (mathematics); Philosophical methodology; Computer science; Artificial intelligence; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.00027544,0.0003276241,0.0006000373,0.0001940238,0.0001062193,0.0004489054,0.000365897,0.0002661908,0.0003765878],"category_scores_gemma":[0.00006448494,0.000316369,0.000174464,0.00003331124,0.0002134925,0.0001491662,0.0005072044,0.0007671723,0.0001221971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009928695,"about_ca_system_score_gemma":0.00008034868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281336,"about_ca_topic_score_gemma":0.001546984,"domain_scores_codex":[0.9981763,0.0002176657,0.0004339414,0.0006303127,0.0002014637,0.0003403007],"domain_scores_gemma":[0.999117,0.0001090398,0.0001849176,0.0003544485,0.0001189454,0.0001156339],"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":[0.00004438236,0.0000829445,0.0008019943,0.0006410365,0.0001140846,0.00005750198,0.3039354,0.00003326189,0.0005322667,0.6830208,0.007603687,0.003132615],"study_design_scores_gemma":[0.001219622,0.0004917136,0.0009397236,0.0004533767,0.0001423779,0.000009183351,0.1045227,0.0001634394,0.006539674,0.1665063,0.7169777,0.002034232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.376898,0.002308682,0.009883223,0.187574,0.01566147,0.002928762,0.0002024155,0.000650157,0.4038933],"genre_scores_gemma":[0.9816988,0.00004514982,0.002275185,0.008588487,0.001829106,0.0001874163,0.0001329601,0.00004647507,0.00519643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.709374,"threshold_uncertainty_score":0.9999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435987317532526,"score_gpt":0.320054156347544,"score_spread":0.1764554245942914,"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."}}