{"id":"W4416605852","doi":"10.5256/f1000research.11021.r18120","title":"Referee report. For: Approaches to R education in Canadian universities [version 1; referees: 1 approved, 1 approved with reservations]","year":2016,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Higher education","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01990204,0.001524503,0.002314218,0.009651539,0.007877273,0.00754617,0.005241894,0.007391386,0.6413414],"category_scores_gemma":[0.1773343,0.001188337,0.00221139,0.01123321,0.002070546,0.004603223,0.004024456,0.006617499,0.4363362],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0162606,"about_ca_system_score_gemma":0.03216067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3303997,"about_ca_topic_score_gemma":0.4501236,"domain_scores_codex":[0.9789691,0.002537289,0.001768453,0.00164074,0.01354556,0.001538908],"domain_scores_gemma":[0.7126495,0.03182669,0.00331023,0.01185951,0.2325691,0.007784996],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002921415,0.000002773635,0.00001172057,0.00004156972,0.000001232182,0.000005922925,0.00001240886,0.000005634725,0.00002129407,0.0001985307,0.9978871,0.001808879],"study_design_scores_gemma":[0.0000290997,0.000008361037,0.0007710368,0.000198272,0.00001256948,0.00003699564,0.00009954628,0.00005698543,0.0001657446,0.0007478273,0.997824,0.00004953285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0005039399,0.004988149,0.01552279,0.1891728,0.280167,0.00547228,0.1635943,0.01655507,0.3240238],"genre_scores_gemma":[0.003472808,0.002819191,0.008520856,0.03975538,0.0195929,0.002507736,0.02787603,0.007537312,0.8879178],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9837394,"threshold_uncertainty_score":0.656953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12210979393499,"score_gpt":0.3444501912585506,"score_spread":0.2223403973235606,"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."}}