{"id":"W4414692457","doi":"","title":"Guide pour la mise en place d’une charte pour l’usage des techniques d’intelligence artificielle en école d’architecture","year":2025,"lang":"fr","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Context (archaeology); Scarring alopecia; Constitution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005288691,0.0009782163,0.0005270198,0.003103384,0.002692293,0.007742422,0.002042759,0.004351994,0.04900479],"category_scores_gemma":[0.01269642,0.0006810725,0.001183939,0.001927487,0.002566692,0.007391418,0.003734061,0.004754234,0.03478774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004855954,"about_ca_system_score_gemma":0.01042721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136653,"about_ca_topic_score_gemma":0.03619948,"domain_scores_codex":[0.9943274,0.001389275,0.0003883883,0.0004945719,0.003073637,0.0003266753],"domain_scores_gemma":[0.9865361,0.00287772,0.0003934875,0.00152685,0.007806262,0.0008596845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007073804,0.0001332379,0.001168555,0.001013459,0.00002014783,0.0004510721,0.006710654,0.002047656,0.006843878,0.1816793,0.4837483,0.316113],"study_design_scores_gemma":[0.000007094091,0.00002691785,0.0004112656,0.00030966,0.000004159863,0.0001620685,0.0005526165,0.0004052966,0.0006542774,0.007631725,0.9898114,0.00002361565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006548909,0.008353482,0.3321837,0.0680018,0.005062854,0.001741396,0.002499623,0.01015506,0.5654533],"genre_scores_gemma":[0.03277256,0.009432741,0.2959331,0.009353058,0.0008139216,0.001294147,0.002580089,0.002444616,0.6453758],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04900479,"threshold_uncertainty_score":0.1639374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187020107277508,"score_gpt":0.2348628753442736,"score_spread":0.2229926742714985,"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."}}