{"id":"W4244193584","doi":"10.1037/e642622013-015","title":"What's in a quarter: Adjusting and re-engaging with course aspirations after mid-quarter feedback","year":2013,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Course (navigation); Short course; History; Engineering; Medicine; Pediatrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002887067,0.001718785,0.00103962,0.003043266,0.0008718719,0.002095604,0.002595938,0.002042979,0.04034757],"category_scores_gemma":[0.02654069,0.0005445124,0.001711482,0.004537576,0.0003435786,0.0009844393,0.002493861,0.002448159,0.04325314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157408,"about_ca_system_score_gemma":0.004701613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09406497,"about_ca_topic_score_gemma":0.1952597,"domain_scores_codex":[0.9982396,0.0004491048,0.0002453442,0.0003132958,0.0004749924,0.0002775348],"domain_scores_gemma":[0.9884794,0.003854268,0.001551832,0.001903374,0.003328724,0.0008823555],"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":[0.0002446261,0.00008136854,0.008404037,0.0004011089,0.00004964519,0.00001334902,0.0001146998,0.0003002268,0.00004079428,0.0002260744,0.9834822,0.006641835],"study_design_scores_gemma":[0.002056428,0.0001956526,0.1694037,0.001272216,0.0002261278,0.00009011832,0.001154586,0.004147769,0.0009256356,0.002310866,0.8180506,0.000166206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001772824,0.00006291773,0.00009535786,0.0001947968,0.00004526572,0.00005257871,0.9966875,0.0003137369,0.0007750765],"genre_scores_gemma":[0.004663929,0.00006130848,0.0005835923,0.00007438034,0.00001811955,0.0005808596,0.9908414,0.00006973713,0.003106674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09406497,"threshold_uncertainty_score":0.1870348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382086263038963,"score_gpt":0.3431667510237369,"score_spread":0.3049581247198406,"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."}}