{"id":"W3033962706","doi":"10.1007/s42330-020-00096-5","title":"Building Knowledge in a Time of Physical Distancing","year":2020,"lang":"en","type":"editorial","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Distancing; Psychology; Computer science; Coronavirus disease 2019 (COVID-19); Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002264242,0.0001032416,0.0003251648,0.001802966,0.0003914831,0.0001223823,0.0009726333,0.0002444622,0.00002283147],"category_scores_gemma":[0.00752486,0.00009928177,0.00003608937,0.00246489,0.003132667,0.0002396739,0.00002941313,0.0005491521,0.000005094127],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587231,"about_ca_system_score_gemma":0.04229012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651529,"about_ca_topic_score_gemma":0.00805912,"domain_scores_codex":[0.9986086,0.00003479451,0.0003899733,0.0001848272,0.000482969,0.0002987875],"domain_scores_gemma":[0.997677,0.0003676206,0.0005263428,0.0001333677,0.000899697,0.0003959716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003574057,0.0004171942,0.001769238,0.000308998,0.00001820832,0.000008054824,0.3036124,0.000002108339,0.002451054,0.3561981,0.2961422,0.03906887],"study_design_scores_gemma":[0.0002328856,0.0002105923,0.0001809465,0.001616863,0.00005948262,0.00001453233,0.141103,0.0002512852,0.0005495146,0.1123942,0.7429739,0.0004127567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5928448,0.001534807,0.000152343,0.00833569,0.389697,0.0003905127,0.00001769497,0.00001907867,0.007008084],"genre_scores_gemma":[0.8877138,0.00009449,0.006355591,0.00002608169,0.1053407,0.000009417962,0.000001956816,0.00001909884,0.0004388677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4468317,"threshold_uncertainty_score":0.9995803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617003369167315,"score_gpt":0.3560384212670148,"score_spread":0.3398683875753417,"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."}}