{"id":"W4220758995","doi":"10.1021/acs.jchemed.1c01006","title":"Designing Virtual Laboratory Exercises Using Microsoft Forms","year":2022,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough","keywords":"Flexibility (engineering); Computer science; Virtual lab; Virtual Laboratory; Complement (music); Multimedia; Human–computer interaction; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001631464,0.00008822093,0.0001274359,0.0001058986,0.00005057341,0.00002259855,0.0001395341,0.00003081216,0.00006782715],"category_scores_gemma":[0.00005399147,0.00009601403,0.00005248001,0.0001826766,0.00001365486,0.0002062553,0.00002947833,0.0003750882,0.000001645313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486688,"about_ca_system_score_gemma":0.0001229499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.342348e-7,"about_ca_topic_score_gemma":6.469093e-9,"domain_scores_codex":[0.9993315,0.00001373949,0.0002683843,0.00005713121,0.0002009783,0.0001282555],"domain_scores_gemma":[0.9996735,0.00003756601,0.00009030121,0.00006961486,0.0000571872,0.00007178559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007593332,0.00004058523,0.0001086493,0.0000139546,0.00001132434,0.000001360003,0.000483525,0.1055087,0.8920223,0.00002222302,0.0005944512,0.001185409],"study_design_scores_gemma":[0.0001645299,0.00004235869,0.00003063046,0.00004912917,0.00001953032,0.0001180098,0.001386293,0.005070477,0.9878228,0.00003737982,0.005116427,0.0001424825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935697,0.001285105,0.003884481,0.00001609779,0.00100166,0.00003861036,0.000001318346,0.00004537451,0.0001576718],"genre_scores_gemma":[0.9836657,0.000008424112,0.01599712,0.00003720913,0.0002341833,0.000006066777,0.000003020305,0.00003333975,0.00001494034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1004382,"threshold_uncertainty_score":0.3915339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00612415599698276,"score_gpt":0.2383606525129324,"score_spread":0.2322364965159497,"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."}}