{"id":"W3213482112","doi":"10.5210/fm.v27i7.11815","title":"Kittens and Jesus: What would remain in a newsless Facebook?","year":2022,"lang":"en","type":"article","venue":"First Monday","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Public sphere; Social media; Content (measure theory); Media studies; Advertising; Sociology; Internet privacy; Political science; World Wide Web; Computer science; Business; Mathematics; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001309216,0.0001528786,0.0001976773,0.001057565,0.002184636,0.003631006,0.0002491639,0.0006798325,0.002788603],"category_scores_gemma":[0.009626713,0.0001157426,0.0001428549,0.0009671979,0.002173077,0.004514175,0.00113481,0.0009659478,0.0006283404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597836,"about_ca_system_score_gemma":0.0006324789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200478,"about_ca_topic_score_gemma":0.03678692,"domain_scores_codex":[0.9992809,0.0003133114,0.00002771644,0.0001000196,0.0001675513,0.0001104752],"domain_scores_gemma":[0.9956232,0.002073369,0.001052132,0.0001821686,0.0005083178,0.0005608223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001200077,0.000243788,0.4763339,0.0006946788,0.0001655166,0.002392235,0.2696163,0.000951985,0.002146274,0.04770263,0.04411899,0.1544337],"study_design_scores_gemma":[0.00002020326,0.0001542122,0.404318,0.0005060323,0.00009565545,0.0007674976,0.4461035,0.002352164,0.00193767,0.01512918,0.128517,0.00009888972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673309,0.001326568,0.0003788741,0.0104957,0.0001410544,0.0000123983,0.0005709159,0.00002048172,0.01972327],"genre_scores_gemma":[0.9965886,0.0005239538,0.0001975729,0.0004566765,0.00006435078,0.000005478461,0.000216938,0.00001289489,0.001933512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200478,"threshold_uncertainty_score":0.03986216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388620475995816,"score_gpt":0.2881712864449222,"score_spread":0.264285081684964,"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."}}