{"id":"W7140289426","doi":"10.5281/zenodo.19222310","title":"La communication inclusive : des stratégies efficaces!","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Population; Context (archaeology); Power (physics); Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003889117,0.0001747507,0.0001966654,0.0002538193,0.007258769,0.001223521,0.001774283,0.0002174748,0.01456653],"category_scores_gemma":[0.005125828,0.0002080565,0.00007798881,0.001681645,0.002663688,0.0004302461,0.001960211,0.0007152965,0.003178551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005822302,"about_ca_system_score_gemma":0.00002593875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007274131,"about_ca_topic_score_gemma":0.00002749511,"domain_scores_codex":[0.9913909,0.007042983,0.0002973129,0.0003876447,0.0003964403,0.0004846561],"domain_scores_gemma":[0.9978485,0.0004473939,0.0001550882,0.0006148788,0.0007754208,0.0001587688],"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":[0.00001848123,0.0001406004,0.000006532684,0.0001231474,0.00006143314,0.000009605073,0.02545181,0.0001311056,0.0004510001,0.1803401,0.05258835,0.7406778],"study_design_scores_gemma":[0.0003253644,0.00007661013,0.001072656,0.0002806321,0.00004188343,0.00001671908,0.01004327,0.0002378329,0.000181997,0.005935872,0.9816071,0.0001800536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02030095,0.01020607,0.01460892,0.01115272,0.0003100809,0.0004643761,0.00007033627,0.0008628372,0.9420237],"genre_scores_gemma":[0.9029472,0.004040574,0.01337638,0.0004223901,0.0002810043,1.345869e-7,0.0006448865,0.001240309,0.07704708],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9290187,"threshold_uncertainty_score":0.9998133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03620449223485448,"score_gpt":0.3325425181284299,"score_spread":0.2963380258935754,"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."}}