{"id":"W7070607115","doi":"","title":"«Partout où il y a des gens qui parlent, il y a des fausses nouvelles» : perceptions des fausses nouvelles chez des Québécois.es d’opinions diversifiées sur la question","year":2021,"lang":"fr","type":"other","venue":"Open MIND","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001385682,0.001067022,0.001121044,0.0004955087,0.002883165,0.004701898,0.00247734,0.0005752839,0.01555861],"category_scores_gemma":[0.001127428,0.001037697,0.0004299293,0.001018033,0.002678088,0.00298233,0.001862157,0.0005393893,0.001023997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004389602,"about_ca_system_score_gemma":0.002899868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005456553,"about_ca_topic_score_gemma":0.03367118,"domain_scores_codex":[0.994755,0.0006652251,0.001413038,0.001227958,0.0006849939,0.001253786],"domain_scores_gemma":[0.995357,0.0008626669,0.001116395,0.001006638,0.001131797,0.000525494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003371972,0.001560316,0.01124235,0.004345566,0.0006784649,0.00007338361,0.4974014,0.0006541628,0.0007248792,0.01241219,0.006144631,0.464729],"study_design_scores_gemma":[0.002435731,0.0006645757,0.02268894,0.03129234,0.0008356209,0.0009498534,0.2035629,0.03152495,0.002571129,0.01258664,0.6859764,0.004910831],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4261018,0.008141281,0.2671245,0.0004488937,0.001252925,0.001652522,0.0004842317,0.0001447718,0.294649],"genre_scores_gemma":[0.2160745,0.009594247,0.5863233,0.0002100251,0.000752181,0.0001661465,0.0004333521,0.0002852918,0.186161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6798319,"threshold_uncertainty_score":0.9997538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06023678897861987,"score_gpt":0.3052271364424023,"score_spread":0.2449903474637824,"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."}}