{"id":"W6998980534","doi":"","title":"Bourses d'aide à la mobilité France-Québec Study grants for France-Quebec mobility","year":2020,"lang":"fr","type":"other","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Field (mathematics); Work (physics); Position (finance)","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":[0.002001966,0.000601887,0.0006302882,0.002187634,0.005438143,0.003006533,0.001378427,0.001880164,0.04907901],"category_scores_gemma":[0.007004807,0.0005046875,0.0007120991,0.002741712,0.0007522865,0.001047689,0.002541112,0.001846102,0.002071519],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0627687,"about_ca_system_score_gemma":0.1482715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954928,"about_ca_topic_score_gemma":0.9975222,"domain_scores_codex":[0.9981331,0.0002501421,0.00005535033,0.0001184102,0.0003869669,0.00105609],"domain_scores_gemma":[0.9922221,0.0007822765,0.0003303019,0.0002141477,0.002878507,0.003572647],"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":[0.0003925859,0.0002537999,0.1022262,0.0002309557,0.0001228519,0.000306044,0.0018865,0.0008273262,0.0001846627,0.02383399,0.8068526,0.06288246],"study_design_scores_gemma":[0.0002400851,0.00008772503,0.5317405,0.0006182131,0.00006889414,0.00011689,0.00603148,0.001908064,0.0002617511,0.0007677071,0.4580854,0.00007316356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3161846,0.01386319,0.002133723,0.121529,0.003205539,0.001450675,0.243579,0.0005785666,0.2974757],"genre_scores_gemma":[0.4315998,0.003583078,0.002472884,0.003675938,0.0002128116,0.001534864,0.02392143,0.0001384133,0.5328609],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9372313,"threshold_uncertainty_score":0.4554209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160800759111689,"score_gpt":0.2708587765168384,"score_spread":0.2392507689257215,"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."}}