{"id":"W1466144168","doi":"10.71781/25552","title":"Recherche et développement dans les sciences de l’environnement : l’Université entre impératifs scientifico-techniques, économiques et socio-politiques. Le cas du Réseau de centres d’excellence ArcticNet","year":2013,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université Laval","keywords":"Humanities; Political science; Sociology; Art","routes":{"ca_aff":false,"ca_fund":true,"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","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00506182,0.0007159605,0.0005879907,0.0008230933,0.01516336,0.001321423,0.001973154,0.0008275759,0.0005106673],"category_scores_gemma":[0.0006037037,0.0007525955,0.0004363246,0.001025593,0.001863255,0.002303022,0.0009402918,0.001070436,0.0001143687],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02942357,"about_ca_system_score_gemma":0.02048112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1609651,"about_ca_topic_score_gemma":0.1384464,"domain_scores_codex":[0.9917772,0.002729911,0.0009094645,0.001534918,0.001766863,0.001281626],"domain_scores_gemma":[0.9954336,0.001048176,0.0008365667,0.0006672275,0.001230466,0.0007839585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009374341,0.001249533,0.06328714,0.0002285259,0.0004024972,0.001562098,0.4108897,0.004151718,0.0893998,0.3938528,0.01593283,0.01810597],"study_design_scores_gemma":[0.001244995,0.00080778,0.06333116,0.0008377311,0.0002429561,0.0005354792,0.6397102,0.01495941,0.1745037,0.0199448,0.08241183,0.001469891],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8687739,0.00525433,0.01014213,0.032953,0.000763528,0.001383079,0.0002637986,0.0001881565,0.08027805],"genre_scores_gemma":[0.8905989,0.00525313,0.0140044,0.0003135708,0.0002186718,0.000120123,0.0004162965,0.00004479993,0.08903011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.373908,"threshold_uncertainty_score":0.9997153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06171758540050678,"score_gpt":0.3254206061555491,"score_spread":0.2637030207550424,"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."}}