{"id":"W2914899908","doi":"10.18355/xl.2019.12.01xl.01","title":"French Academy of Sciences and the new orthography","year":2019,"lang":"en","type":"article","venue":"XLinguae","topic":"Historical Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthography; Linguistics; Library science; Computer science; Philosophy; Reading (process)","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":[],"consensus_categories":[],"category_scores_codex":[0.001214032,0.0003838952,0.0002611211,0.001729279,0.004333785,0.004495782,0.0003226896,0.001127994,0.0252866],"category_scores_gemma":[0.00335994,0.0001351966,0.0002871343,0.001487325,0.00360248,0.001806376,0.001180288,0.001606379,0.00304425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01128236,"about_ca_system_score_gemma":0.008350842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2945067,"about_ca_topic_score_gemma":0.3509524,"domain_scores_codex":[0.9983582,0.0004169335,0.0001105779,0.0002805625,0.0004960932,0.000337648],"domain_scores_gemma":[0.9985127,0.0002712706,0.0001655867,0.000232185,0.0006111185,0.0002071625],"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":[0.00007425765,0.00003582728,0.007475874,0.0002056231,0.00002393687,0.0006696982,0.008349725,0.000245877,0.0007128755,0.5532963,0.1706733,0.2582367],"study_design_scores_gemma":[0.000005339237,0.00001322334,0.01184545,0.00006014042,0.000003724319,0.0001968128,0.0009283926,0.0000357364,0.0001102737,0.005196822,0.981593,0.00001116098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03873174,0.02827624,0.001024756,0.08285891,0.003234167,0.00002374628,0.000666703,0.0002330761,0.8449506],"genre_scores_gemma":[0.5337527,0.01338876,0.003494565,0.01038061,0.00113675,0.00003635581,0.0005338974,0.0001477543,0.4371287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2945067,"threshold_uncertainty_score":0.585585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238347262652262,"score_gpt":0.2514588865804268,"score_spread":0.2276241603152006,"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."}}