{"id":"W4221009556","doi":"10.1186/s43031-022-00048-z","title":"Online teaching during the COVID-19 pandemic: exploring science/STEM teachers’ curriculum and assessment practices in Canada","year":2022,"lang":"en","type":"article","venue":"Disciplinary and Interdisciplinary Science Education Research","topic":"Educational Innovations and Technology","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Curriculum; Interactivity; Context (archaeology); Variety (cybernetics); Mathematics education; Focus group; Psychology; Pedagogy; Medical education; Sociology; Computer science; Medicine; Multimedia; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.01008388,0.0001639138,0.0001549818,0.001508539,0.01025379,0.0005673899,0.002747239,0.00002386206,0.00002483951],"category_scores_gemma":[0.0004072776,0.0001310356,0.000018442,0.005123009,0.00170641,0.003042874,0.01038945,0.00175433,8.181404e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004130192,"about_ca_system_score_gemma":0.02673246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07109442,"about_ca_topic_score_gemma":0.06426969,"domain_scores_codex":[0.9958128,0.0004326061,0.0004286723,0.001081675,0.001512278,0.0007320186],"domain_scores_gemma":[0.997842,0.000518235,0.0002678483,0.0007700121,0.0002822012,0.0003197002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001257861,0.001207884,0.6935608,0.00006545013,0.000008818977,0.00002264684,0.03573609,0.0004255626,0.002492279,0.2021187,0.0006218689,0.06372724],"study_design_scores_gemma":[0.0001970509,0.0001902819,0.6134046,0.00003903265,0.000002414231,0.0005342372,0.3561423,0.0149854,0.00003056714,0.01046315,0.003744229,0.0002667353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441292,0.0003424132,0.0001327057,0.05309166,0.0008194259,0.0004158664,0.000006684765,0.00004106202,0.001020974],"genre_scores_gemma":[0.9964349,0.00006598995,0.002336087,0.0002192941,0.00007540564,0.0004982359,0.000006440245,0.000007315574,0.0003563745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3204062,"threshold_uncertainty_score":0.9996928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2020373075052378,"score_gpt":0.4891958240968733,"score_spread":0.2871585165916355,"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."}}