{"id":"W4205323948","doi":"10.20944/preprints202201.0124.v1","title":"Epistemic Communities under Active Inference","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Certainty; Inference; Leverage (statistics); Epistemology; Perception; Psychology; Computer science; Sociology; Data science; Artificial intelligence","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003135011,0.0003602395,0.0004585305,0.00009278947,0.0004403732,0.00005648419,0.001129165,0.0001501028,0.01121179],"category_scores_gemma":[0.00001322191,0.0004246367,0.0002808407,0.0001173968,0.0001987308,0.0001100878,0.004809304,0.001994557,0.0003944116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233501,"about_ca_system_score_gemma":0.0003683402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007486748,"about_ca_topic_score_gemma":0.00004446699,"domain_scores_codex":[0.9981295,0.0002914152,0.0004292922,0.0004882051,0.0003106503,0.0003509103],"domain_scores_gemma":[0.997891,0.0002062759,0.000401773,0.001250503,0.0001428676,0.0001075661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001753949,0.0001713549,0.853389,0.00005583992,0.0002763744,0.000001059245,0.005259252,0.009899651,0.00009880895,0.1299915,0.00001684203,0.0008228291],"study_design_scores_gemma":[0.0004888249,0.00002480021,0.6200199,0.0002450355,0.00009125913,6.175546e-7,0.0222176,0.001485495,0.0006433494,0.3449824,0.008512474,0.00128829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370764,0.00003501227,0.0005891048,0.0004831451,0.0009190861,0.0004168191,0.0003957127,0.00009862483,0.05998613],"genre_scores_gemma":[0.9964571,0.00005899902,0.00004845435,0.0001358679,0.0002022181,0.0003721447,0.0004863604,0.00004238967,0.002196466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.233369,"threshold_uncertainty_score":0.9998205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504456341872192,"score_gpt":0.3919797836572555,"score_spread":0.2415341494700363,"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."}}