{"id":"W4280625551","doi":"10.18573/book7","title":"The Face-to-Face Principle: Science, Trust, Democracy and the Internet","year":2022,"lang":"en","type":"book","venue":"","topic":"Digital Education and Society","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; York University","funders":"","keywords":"Disinformation; Face (sociological concept); Democracy; Face-to-face; Politics; The Internet; Political science; Internet privacy; Sociology; Public relations; Epistemology; Computer science; Law; Social science; World Wide Web; Social media","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001423692,0.0001983584,0.0001814408,0.00006743374,0.001097201,0.002072193,0.004085074,0.00004998452,0.0001354047],"category_scores_gemma":[0.0001761951,0.0001027574,0.0001047549,0.0004525866,0.0009628774,0.0004095499,0.003107901,0.0003970669,0.0001205133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341401,"about_ca_system_score_gemma":0.001547039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090194,"about_ca_topic_score_gemma":0.000005499108,"domain_scores_codex":[0.9980737,0.00005258328,0.0002473089,0.0005560686,0.0007398322,0.0003305088],"domain_scores_gemma":[0.9982364,0.0003791068,0.0001251638,0.0009889161,0.00009431775,0.0001760791],"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":[0.000002374342,0.000008223747,0.000004061566,0.000002945333,0.00001077461,4.10107e-7,0.003540103,0.000006220473,1.62814e-7,0.7961766,0.1867745,0.01347358],"study_design_scores_gemma":[0.0001588706,0.00002399081,0.0001068059,0.000006848551,0.000004233083,0.00001078034,0.0005639562,0.004758206,0.000004403566,0.02044314,0.973758,0.0001607945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001444549,0.0002151315,0.009208736,0.01568652,0.001268763,0.0005630478,0.000004022262,0.0001175737,0.9727917],"genre_scores_gemma":[0.005679097,0.000077465,0.0007096993,0.004630467,0.00005903677,0.00004715428,0.000002537829,0.00001136276,0.9887832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7869834,"threshold_uncertainty_score":0.9989638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315240591512889,"score_gpt":0.2709912129721889,"score_spread":0.25783880705706,"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."}}