{"id":"W1605851646","doi":"10.1111/j.1751-5823.2007.00035.x","title":"Computer‐Aided Statistical Instruction—Multi‐Mediocre Techno‐Trash?","year":2007,"lang":"en","type":"article","venue":"International Statistical Review","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data collection; Set (abstract data type); Fraction (chemistry); Statistical analysis; Computer-aided; Control (management); Data set; Data science; Statistics; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06921798,0.0009083832,0.001447381,0.00497933,0.001493622,0.009071161,0.003046165,0.002722872,0.01694283],"category_scores_gemma":[0.2417212,0.0007158827,0.0006816546,0.00480493,0.009322027,0.01303522,0.004065071,0.009773303,0.013739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003820968,"about_ca_system_score_gemma":0.007556036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00304868,"about_ca_topic_score_gemma":0.002245572,"domain_scores_codex":[0.9614609,0.02137492,0.003032333,0.002497389,0.01068281,0.0009516182],"domain_scores_gemma":[0.7420697,0.1501926,0.01001361,0.02950741,0.05919912,0.009017512],"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":[0.00009779674,0.00009088402,0.001967923,0.001087908,0.0001259816,0.0001050227,0.0008165293,0.0006470298,0.0003074534,0.1430277,0.5365735,0.3151524],"study_design_scores_gemma":[0.00005403405,0.0001174327,0.003551839,0.003471555,0.00008621674,0.0007025723,0.001299277,0.00295354,0.0006570489,0.3567281,0.6302431,0.00013536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002351185,0.07074523,0.1143725,0.7572157,0.02006855,0.00007253245,0.0002954196,0.001655848,0.03322295],"genre_scores_gemma":[0.1901504,0.1731451,0.210068,0.2849248,0.0858231,0.0006849674,0.0009184164,0.002979378,0.05130595],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06921798,"threshold_uncertainty_score":0.366064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.23184298347592,"score_gpt":0.5185425222713479,"score_spread":0.2866995387954279,"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."}}