{"id":"W7081914652","doi":"10.60527/eg5a-5y11","title":"Focus sur les partenariats Mir@bel avec le Québec. Regards croisés sur la dynamique des groupes et communautés au sein du réseau","year":2025,"lang":"fr","type":"other","venue":"Fondation Maison des sciences de l'homme","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Focus (optics); Context (archaeology); Focus group; Work (physics); Government (linguistics)","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":[0.0007940952,0.0004730152,0.0003570378,0.001338115,0.006402123,0.00311468,0.001000093,0.001415471,0.1409214],"category_scores_gemma":[0.001991606,0.0002764045,0.0003893176,0.00313626,0.001351436,0.001386976,0.001784949,0.001518322,0.009356743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02884429,"about_ca_system_score_gemma":0.03837615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9852458,"about_ca_topic_score_gemma":0.9946606,"domain_scores_codex":[0.999255,0.00007006592,0.00001440294,0.00008838633,0.0002242219,0.0003478965],"domain_scores_gemma":[0.9972909,0.0002604399,0.0001916321,0.00008620533,0.001221228,0.0009495536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001777109,0.0001143257,0.04789216,0.0006265725,0.00005766462,0.001037265,0.00708163,0.001010426,0.002390207,0.03338412,0.697069,0.2091588],"study_design_scores_gemma":[0.00001170387,0.00003063444,0.08945621,0.0002671177,0.00001772686,0.0001738203,0.007660893,0.0003692681,0.0003019442,0.0005942202,0.9010913,0.00002519908],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09323708,0.05120252,0.004838353,0.1625985,0.003523765,0.0003546571,0.01455407,0.0009398011,0.6687513],"genre_scores_gemma":[0.1042577,0.005845387,0.001042736,0.003024289,0.0001932328,0.00006490394,0.001520283,0.0001187428,0.8839328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9852458,"threshold_uncertainty_score":0.4714292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05953866565836669,"score_gpt":0.291006589977384,"score_spread":0.2314679243190173,"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."}}