{"id":"W2590462553","doi":"10.1111/jcal.12178","title":"Short answers to deep questions: supporting teachers in large‐class settings","year":2017,"lang":"en","type":"article","venue":"Journal of Computer Assisted Learning","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Formative assessment; Grading (engineering); Mathematics education; Class (philosophy); Context (archaeology); Praxis; Psychology; Computer science; Pedagogy; Artificial intelligence; Engineering","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":[0.01716085,0.0009111097,0.0006894555,0.001316523,0.001838789,0.003831235,0.002116919,0.001785815,0.00617038],"category_scores_gemma":[0.09202071,0.0003916624,0.0003316563,0.0007434615,0.001719032,0.003703304,0.005938285,0.001787014,0.002180291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325707,"about_ca_system_score_gemma":0.002369806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007428112,"about_ca_topic_score_gemma":0.002104191,"domain_scores_codex":[0.9818757,0.01356354,0.0006765173,0.001251485,0.001765379,0.0008673686],"domain_scores_gemma":[0.8810211,0.09139427,0.008631499,0.004290213,0.007848629,0.006814375],"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":[0.00124408,0.004271928,0.06370588,0.001849957,0.00006829019,0.001813326,0.3261441,0.003993423,0.05044101,0.002726711,0.01937004,0.5243712],"study_design_scores_gemma":[0.0005755969,0.009987899,0.1262826,0.003005386,0.0001405651,0.002250465,0.4625041,0.03563763,0.05901361,0.03645004,0.2634783,0.0006736823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280955,0.0001591796,0.05796327,0.003718545,0.0001060266,0.0009098012,0.0003762767,0.001457731,0.007213663],"genre_scores_gemma":[0.9195673,0.0001832993,0.07434941,0.0005878574,0.00006528722,0.0009928404,0.0003868252,0.0001707608,0.003696329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01716085,"threshold_uncertainty_score":0.0907563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463736550678368,"score_gpt":0.3757199438046336,"score_spread":0.3510825782978499,"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."}}