{"id":"W4415045391","doi":"10.7202/1118950ar","title":"Machines à écrire","year":2024,"lang":"fr","type":"article","venue":"Sens public","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Order (exchange); Period (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004271839,0.00024422,0.0001761894,0.0002963006,0.0001451155,0.003124878,0.0009177261,0.0002029012,0.0002826846],"category_scores_gemma":[0.0002024372,0.00021442,0.0001144071,0.001328941,0.0001632707,0.001991624,0.0005025513,0.0005675274,0.0007743964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097907,"about_ca_system_score_gemma":0.0003327628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001785952,"about_ca_topic_score_gemma":0.00005054458,"domain_scores_codex":[0.9981246,0.000112317,0.0002314783,0.0006068139,0.0003374087,0.0005873856],"domain_scores_gemma":[0.9989185,0.0001177596,0.00003950864,0.0005836993,0.0001703493,0.0001701354],"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":[3.175049e-7,0.00001722016,0.00001549804,0.0001793638,0.00001653519,0.0003651655,0.000426297,1.858661e-7,0.0003196781,0.4479687,0.0490324,0.5016586],"study_design_scores_gemma":[0.00004338291,0.00004608728,0.00002108688,0.0004091018,0.00001621542,0.0006745226,0.00001240049,0.0874265,0.001500754,0.155935,0.7535788,0.0003361494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0007179851,0.4872434,0.2167829,0.2698799,0.008278893,0.0001754026,0.00002806189,0.004086332,0.01280709],"genre_scores_gemma":[0.4827682,0.0004540129,0.3831996,0.002307483,0.002506341,0.00001440995,0.00001866584,0.00007573401,0.1286555],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7045464,"threshold_uncertainty_score":0.99791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283666343820136,"score_gpt":0.2971950064287017,"score_spread":0.2688283720466881,"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."}}