{"id":"W2557618053","doi":"10.12688/f1000research.10232.1","title":"Approaches to R education in Canadian universities","year":2016,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Trillium Foundation","keywords":"Context (archaeology); Popularity; Mathematics education; Psychology; Biology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0317757,0.0006526243,0.0007279273,0.008475248,0.02835141,0.01249971,0.005064819,0.003727741,0.02706515],"category_scores_gemma":[0.0515041,0.001048931,0.001298446,0.0184852,0.01136408,0.004331913,0.01097179,0.005222825,0.003170147],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.3045183,"about_ca_system_score_gemma":0.4972716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891699,"about_ca_topic_score_gemma":0.9939967,"domain_scores_codex":[0.962298,0.009981549,0.001862982,0.003646893,0.01359819,0.008612416],"domain_scores_gemma":[0.9183683,0.01620145,0.002327297,0.003286117,0.03495212,0.02486467],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001724083,0.0002914658,0.01636374,0.001697998,0.0000672298,0.001307046,0.08746009,0.002473475,0.001589499,0.4114226,0.1917819,0.2853725],"study_design_scores_gemma":[0.00003019541,0.00003887156,0.02573164,0.0008213918,0.00002303204,0.0002524744,0.02587606,0.0008556352,0.0004986347,0.009980443,0.9357105,0.0001811997],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1055953,0.02092503,0.02287636,0.235106,0.002544877,0.0009829255,0.002878885,0.001611653,0.607479],"genre_scores_gemma":[0.6225122,0.02407583,0.06134153,0.0392779,0.0005028021,0.0008360443,0.00187555,0.001001369,0.2485768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9682243,"threshold_uncertainty_score":0.8066602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5658870787450335,"score_gpt":0.473203246915677,"score_spread":0.09268383182935652,"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."}}