{"id":"W7073998634","doi":"","title":"Recettes et réformes organisationnelles dans l'enseignement supérieur : quelques aperçus du Canada","year":2006,"lang":"fr","type":"other","venue":"Cairn.info","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Natural (archaeology); Work (physics); Erosion","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004859648,0.0009498231,0.0009396698,0.000323347,0.0004548461,0.0008197197,0.002004876,0.0003626798,0.01149724],"category_scores_gemma":[0.0003495832,0.0009177149,0.0002537731,0.0008192064,0.0002947626,0.0007733022,0.0007328407,0.0004167809,0.0006629007],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004432991,"about_ca_system_score_gemma":0.00476092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9374474,"about_ca_topic_score_gemma":0.9917978,"domain_scores_codex":[0.9951196,0.0002923061,0.001071561,0.001273447,0.001299449,0.0009436434],"domain_scores_gemma":[0.9962439,0.0003616567,0.0007335421,0.001914477,0.0003963309,0.000350117],"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":[0.000004658445,0.0001109584,0.004979687,0.0001241707,0.000347615,0.000309859,0.007319347,0.000456997,0.00009741535,0.08339275,0.8987803,0.004076269],"study_design_scores_gemma":[0.000406522,0.00008797939,0.00880402,0.0002523557,0.0002309999,0.00009327612,0.0008792835,0.003592598,0.0006301417,0.0005229781,0.9833574,0.001142425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001820071,0.00272858,0.06276134,0.01243612,0.002753045,0.0007098492,0.0005457405,0.0003340548,0.9159112],"genre_scores_gemma":[0.02235277,0.0007836408,0.0150147,0.006851372,0.001370476,0.00008573789,0.001135034,0.0003166613,0.9520896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08457714,"threshold_uncertainty_score":0.9993888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007610279452027597,"score_gpt":0.2014446083491381,"score_spread":0.1938343288971105,"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."}}