{"id":"W3092954007","doi":"","title":"A Dataset of Learnersourced Explanations from an Online Peer Instruction Environment.","year":2020,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dawson College; Polytechnique Montréal","funders":"","keywords":"Computer science; Peer-to-peer; Peer instruction; World Wide Web; Multimedia; Data science; Mathematics education; Psychology; Peer feedback","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":[0.0008019101,0.001129624,0.0005435951,0.004480128,0.0007217866,0.00117064,0.001395339,0.001997343,0.00919471],"category_scores_gemma":[0.007660385,0.000271888,0.0006845659,0.003421002,0.0003229946,0.00121326,0.001960458,0.001284615,0.01214724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008194022,"about_ca_system_score_gemma":0.001860422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319266,"about_ca_topic_score_gemma":0.04462904,"domain_scores_codex":[0.9988303,0.000319033,0.0001039991,0.0002431855,0.0003985384,0.0001050585],"domain_scores_gemma":[0.9947793,0.002488071,0.0002879428,0.000750305,0.001156603,0.000537754],"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":[0.000674621,0.0007919937,0.02504472,0.00443555,0.0002583763,0.0009904157,0.001578592,0.003262648,0.003225018,0.001707424,0.864034,0.09399657],"study_design_scores_gemma":[0.0002643685,0.0002402094,0.06768582,0.001094027,0.0001269951,0.0006697826,0.001448528,0.005632696,0.004176266,0.002592501,0.9159425,0.0001263922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03879286,0.002868645,0.002463649,0.000569322,0.0001749846,0.0002489487,0.941605,0.004395098,0.008881547],"genre_scores_gemma":[0.01830568,0.0004065428,0.003701401,0.0000917641,0.00003105229,0.0002037056,0.974311,0.000165705,0.002783151],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01319266,"threshold_uncertainty_score":0.03075933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223336479745675,"score_gpt":0.2491155714839894,"score_spread":0.2267819235094219,"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."}}