{"id":"W4300685030","doi":"10.5281/zenodo.7137070","title":"Skincell Advanced #1 Premium Fast Acting Liquid Solution To Remove Moles | Skin Tags Anywhere From Body[REAL OR HOAX]","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hoax; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000496974,0.0004914334,0.0005290628,0.0008172301,0.0003070746,0.00109785,0.0006778122,0.0008863701,0.1415045],"category_scores_gemma":[0.001162052,0.0002250729,0.000742036,0.0005299647,0.0002125442,0.001369802,0.0006010839,0.0011969,0.07674361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153428,"about_ca_system_score_gemma":0.0005691349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262741,"about_ca_topic_score_gemma":0.003057808,"domain_scores_codex":[0.9995895,0.00007274851,0.00003387356,0.00005776755,0.0002126813,0.00003348112],"domain_scores_gemma":[0.9996045,0.00009588068,0.00005948203,0.00002294387,0.0001797003,0.00003746565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002836714,0.0001220711,0.0001960583,0.008627241,0.00005184415,0.0002356608,0.00006832407,0.00006845139,0.01901662,0.002822129,0.5340781,0.43443],"study_design_scores_gemma":[0.00003118853,0.000124499,0.000282503,0.0006340027,0.00002215306,0.0002710935,0.00002778654,0.00004233597,0.003894317,0.0001461298,0.9945147,0.000009399432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009451689,0.3784218,0.008264927,0.008830955,0.01666923,0.001375407,0.007785981,0.003597127,0.5656028],"genre_scores_gemma":[0.02894189,0.3236329,0.006226785,0.008221003,0.001720994,0.0006120399,0.007126369,0.0009949288,0.6225231],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8584955,"threshold_uncertainty_score":0.4733799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405609421693941,"score_gpt":0.2429315483231591,"score_spread":0.2088754541062197,"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."}}