{"id":"W2620591342","doi":"10.1002/ase.1708","title":"The skeletons in our closet: E‐learning tools and what happens when one side does not fit all","year":2017,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Closet; Psychology; Mathematics education; History; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.004689933,0.0003457306,0.0005094043,0.00106981,0.003276594,0.007583505,0.001213048,0.002878276,0.007051127],"category_scores_gemma":[0.02756479,0.0003253037,0.0005077128,0.0007941217,0.007386777,0.009759358,0.003921104,0.00200315,0.001601703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892183,"about_ca_system_score_gemma":0.002063663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005890449,"about_ca_topic_score_gemma":0.008864997,"domain_scores_codex":[0.9941176,0.002600471,0.000253819,0.0005461971,0.001839466,0.0006424236],"domain_scores_gemma":[0.9887059,0.005243073,0.002327467,0.0005497188,0.001611963,0.001561855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005420717,0.0008646686,0.1937334,0.001299288,0.0001619485,0.005123383,0.2053363,0.0004390222,0.003571994,0.01982339,0.04410025,0.5250043],"study_design_scores_gemma":[0.00005056916,0.001136149,0.1734091,0.00395978,0.0002202874,0.01084125,0.5711448,0.001072399,0.003542721,0.0377076,0.1967013,0.0002141504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.856138,0.02045901,0.005611841,0.05858281,0.0008458226,0.00006042242,0.0001256861,0.0001642525,0.05801208],"genre_scores_gemma":[0.9764103,0.008676676,0.001569973,0.004440827,0.0001682275,0.00003078458,0.0000529049,0.00007764141,0.008572615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007583505,"threshold_uncertainty_score":0.02480304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07581869154083645,"score_gpt":0.4176657383524677,"score_spread":0.3418470468116312,"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."}}