{"id":"W3162763322","doi":"10.1145/3411764.3445749","title":"EvalMe: Exploring the Value of New Technologies for In Situ Evaluation of Learning Experiences","year":2021,"lang":"en","type":"article","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"Engineering and Physical Sciences Research Council; Arts and Humanities Research Council","keywords":"In situ; Value (mathematics); Computer science; Machine learning; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252874,0.00005245657,0.00009780887,0.00008338406,0.00004334298,0.00002657537,0.0004360518,0.00002886203,0.00001347081],"category_scores_gemma":[0.00195307,0.00003968579,0.00003243906,0.0005564106,0.00003968983,0.0002967791,0.0001280975,0.00008577909,0.000001022305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003856629,"about_ca_system_score_gemma":0.0003244874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003496492,"about_ca_topic_score_gemma":0.00001963901,"domain_scores_codex":[0.9989764,0.000144611,0.0002177722,0.0001951071,0.0003584886,0.0001076124],"domain_scores_gemma":[0.9989728,0.0003177746,0.0001246167,0.0003272664,0.0002487247,0.000008832124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003905117,0.00007432725,0.005500508,0.00003763495,0.0000113715,2.042883e-7,0.0794666,0.07115559,0.0299837,0.04570133,0.0001375789,0.7679272],"study_design_scores_gemma":[0.0003083942,0.00009700927,0.007997518,0.000076587,0.00001047806,0.000002475523,0.1101099,0.1785634,0.6918437,0.01027001,0.0006240885,0.00009647653],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820914,0.0002995605,0.1152162,0.001033464,0.000289448,0.0002121634,2.404773e-8,0.00006160279,0.0007960963],"genre_scores_gemma":[0.9636558,0.00001652943,0.03589381,0.000006705143,0.00001504461,0.0002548861,5.697482e-7,0.000002911205,0.000153801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7678308,"threshold_uncertainty_score":0.2338148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09616421279728761,"score_gpt":0.3479731745082584,"score_spread":0.2518089617109708,"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."}}