{"id":"W4241051692","doi":"10.31234/osf.io/d254c","title":"Statistical Software Use in Canadian University Courses: Current Trends and Future Directions","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; York University","funders":"","keywords":"Statistical software; Software; Computer science; Statistical analysis; Software analytics; Data science; Software peer review; Software package; Point (geometry); Computational statistics; Software engineering; Statistics; Mathematics education; Software construction; Software development; Psychology; Mathematics; Machine learning; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0786332,0.0007827624,0.001284012,0.01763878,0.006003123,0.008987947,0.008562102,0.002180345,0.006803703],"category_scores_gemma":[0.2102737,0.001260745,0.001209615,0.03337228,0.01051329,0.006574924,0.004811713,0.004682207,0.001416413],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06501224,"about_ca_system_score_gemma":0.1613183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.883005,"about_ca_topic_score_gemma":0.8703977,"domain_scores_codex":[0.9247249,0.0142369,0.004465123,0.008696758,0.04148675,0.006389458],"domain_scores_gemma":[0.5005521,0.149523,0.02599961,0.01370171,0.2743164,0.0359072],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002612252,0.0002767112,0.09831307,0.003738209,0.0001144566,0.0001481953,0.00734918,0.0008332839,0.001385596,0.01413509,0.0520989,0.8213461],"study_design_scores_gemma":[0.0001110277,0.0004983987,0.4771052,0.01048614,0.000172964,0.000603124,0.02010503,0.004009242,0.003429431,0.006816583,0.4761524,0.0005104632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2255041,0.2980812,0.04559039,0.3110147,0.004477833,0.0007807971,0.005092425,0.005892414,0.1035663],"genre_scores_gemma":[0.6467887,0.2268203,0.07408543,0.02643939,0.001415256,0.0005127036,0.005084639,0.003096397,0.01575723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9349878,"threshold_uncertainty_score":0.471699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589250598794959,"score_gpt":0.4094506556704726,"score_spread":0.2505255957909767,"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."}}