{"id":"W7084409746","doi":"10.25318/2710040501-fra","title":"Estimations expérimentales des activités de recherche et développement dans l'enseignement supérieur canadien, selon le type d'institution","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Subject (documents); Perspective (graphical); Identity (music)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01216431,0.001419829,0.001276741,0.003806783,0.0015001,0.00242107,0.002685894,0.001495012,0.01676004],"category_scores_gemma":[0.05570052,0.0006083458,0.001486223,0.008996003,0.0009406521,0.001746894,0.001966645,0.003023868,0.00910872],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007281507,"about_ca_system_score_gemma":0.01687765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3613547,"about_ca_topic_score_gemma":0.4665672,"domain_scores_codex":[0.9921387,0.002985553,0.0006312634,0.001623318,0.001629481,0.000991772],"domain_scores_gemma":[0.9561418,0.02057654,0.003404715,0.006317614,0.01151886,0.002040552],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001241441,0.0004942603,0.1265276,0.001318616,0.00059399,0.0001004652,0.001135621,0.00956794,0.0004195855,0.008638787,0.8189269,0.03103482],"study_design_scores_gemma":[0.001398261,0.0003084578,0.3714063,0.000986976,0.0006295483,0.0001577995,0.003841461,0.01518451,0.001836743,0.0067271,0.5972749,0.0002478447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0413703,0.0006985171,0.002814028,0.001107273,0.0001666677,0.0003516628,0.9448923,0.0008351405,0.007764118],"genre_scores_gemma":[0.0692446,0.0004420335,0.006606213,0.0003394937,0.0000628319,0.002009586,0.9082791,0.0002749595,0.01274125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9927185,"threshold_uncertainty_score":0.7185028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06696194979187656,"score_gpt":0.369084081067261,"score_spread":0.3021221312753845,"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."}}