{"id":"W4200611090","doi":"10.14742/ascilite2021.0122","title":"Building a culture of innovation in learning and teaching technologies through an innovators group","year":2021,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Government (linguistics); Coronavirus disease 2019 (COVID-19); Pandemic; Key (lock); Business; Economic growth; Political science; Knowledge management; Public relations; Computer science; Economics; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04765154,0.0008416028,0.0006259054,0.003430109,0.01319648,0.02613506,0.002587005,0.004203681,0.003972083],"category_scores_gemma":[0.03091749,0.0006270461,0.0009164918,0.001175867,0.03138529,0.01486243,0.02866813,0.01001307,0.002050468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005179605,"about_ca_system_score_gemma":0.01269611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143427,"about_ca_topic_score_gemma":0.00123284,"domain_scores_codex":[0.9591841,0.02516824,0.00141216,0.003452904,0.008105513,0.002677103],"domain_scores_gemma":[0.9482762,0.0173553,0.00534543,0.006146915,0.00678889,0.01608717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001292586,0.001116396,0.02428183,0.0005483368,0.0001162268,0.001097994,0.4939746,0.0009468923,0.007802053,0.3526124,0.01168307,0.105691],"study_design_scores_gemma":[0.0001405645,0.001208173,0.01013879,0.001047655,0.00009934967,0.001707736,0.2294714,0.00353005,0.006893212,0.2209474,0.5245161,0.0002996712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5636412,0.001522875,0.1526092,0.08443373,0.00171141,0.001303017,0.00006329238,0.0006731756,0.194042],"genre_scores_gemma":[0.9269976,0.0007058028,0.04042004,0.007921388,0.0003020529,0.0006157261,0.00003426592,0.0001748571,0.02282827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04765154,"threshold_uncertainty_score":0.2520084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008107788224300106,"score_gpt":0.2517182839775646,"score_spread":0.2436104957532645,"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."}}