{"id":"W7155398692","doi":"10.62707/aishej.v13i1.533","title":"Trust in Science: Developing a Learning Environment to enable Public Understanding and Support for Evidence-based Information for Senior Secondary School Students and Students in Higher Education","year":2021,"lang":"","type":"article","venue":"AISHE-J","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Higher education; Context (archaeology); Multidisciplinary approach; Quality (philosophy); Learning environment; Pandemic; Academic integrity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001366385,0.0002152475,0.0002420981,0.0007026022,0.0002108086,0.0007480354,0.0002022843,0.0001431295,0.0001288742],"category_scores_gemma":[0.0005296581,0.0002537822,0.00002632588,0.0007668462,0.00006762806,0.001952545,0.0001475524,0.0002625836,0.00000589058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196819,"about_ca_system_score_gemma":0.001216207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002217992,"about_ca_topic_score_gemma":0.00001015248,"domain_scores_codex":[0.9980473,0.00002714684,0.0005311379,0.0003843981,0.0004781823,0.0005318185],"domain_scores_gemma":[0.9992328,0.0001712104,0.00006971606,0.000140457,0.00007906408,0.0003067965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002850587,0.0009916933,0.7778024,0.0171544,0.0001909452,0.000007197946,0.01683548,0.01935639,0.008664365,0.004747591,0.00197774,0.1519867],"study_design_scores_gemma":[0.00446385,0.0004041869,0.9135657,0.003451213,0.00006439702,0.000009273505,0.01001149,0.02046003,0.001756195,0.0008207593,0.04394333,0.00104956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512028,0.001091752,0.03933506,0.004678092,0.001718424,0.00176729,0.00001083294,0.0000480229,0.0001477921],"genre_scores_gemma":[0.9912664,0.0003073303,0.006883902,0.0004805021,0.00009979137,0.0004752839,0.00005713396,0.00002360917,0.0004059956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1509372,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05492649593520657,"score_gpt":0.2996812305705371,"score_spread":0.2447547346353306,"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."}}