{"id":"W4390941649","doi":"10.5206/cjils-rcsib.v46i2.16424","title":"Mettre en récit la circulation des documents savants sur Twitter","year":2024,"lang":"fr","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Humanities; Sociology; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001266376,0.00008619576,0.00009545768,0.0005602463,0.0005868604,0.001871447,0.0003752464,0.00008812921,0.00275272],"category_scores_gemma":[0.0001547538,0.00008113231,0.00004909199,0.00111513,0.001147847,0.02099879,0.00003114792,0.0002129442,0.0001369623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002051876,"about_ca_system_score_gemma":0.002296359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003361246,"about_ca_topic_score_gemma":0.002154306,"domain_scores_codex":[0.9988604,0.0001631339,0.0003735741,0.0000690859,0.000288382,0.0002454864],"domain_scores_gemma":[0.9989219,0.0001260414,0.0001422422,0.00009312006,0.0001290173,0.0005876887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005320127,0.000007507912,0.01540636,0.0001533113,0.00001581585,0.00001354302,0.1962875,0.00006107502,0.0000403669,0.03622001,0.01613268,0.7356565],"study_design_scores_gemma":[0.0001117801,0.00002721196,0.06741266,0.0004483335,0.00001317633,0.00009111358,0.009439223,0.00255586,0.000008324676,0.002662038,0.9171183,0.0001119849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8045139,0.01677185,0.000389619,0.03451926,0.003110711,0.0001764846,0.0000595366,0.00003010269,0.1404285],"genre_scores_gemma":[0.9797117,0.01603979,0.0005283179,0.001362103,0.0001774109,8.59079e-7,0.00001341482,0.000005084587,0.002161338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9009856,"threshold_uncertainty_score":0.9991647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498113108734737,"score_gpt":0.3535732603681098,"score_spread":0.2037619494946362,"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."}}