{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345384,0.00006274381,0.00008562073,0.0001136808,0.00001872686,0.00001210183,0.00003418516,0.00009891728,0.000004730992],"category_scores_gemma":[0.0001484599,0.00005719345,0.00000429968,0.0006135442,0.0000186524,0.0002027112,0.00002135933,0.000286159,2.274813e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000212743,"about_ca_system_score_gemma":0.000005827425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001514785,"about_ca_topic_score_gemma":0.00000368896,"domain_scores_codex":[0.9995661,0.00000774889,0.0001885019,0.00008971719,0.00005573182,0.00009215044],"domain_scores_gemma":[0.9998841,0.00001182928,0.00001649602,0.00005385842,0.00002660885,0.000007107665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001163075,0.00004186476,0.005569858,0.0003904739,0.00001462107,0.00000274841,0.002083193,0.001445406,0.7045394,0.2030706,0.0001222757,0.08271842],"study_design_scores_gemma":[0.001651257,0.0003156945,0.0210694,0.001240332,0.00002932243,0.0001038995,0.05155441,0.1231476,0.6004474,0.03166351,0.1672484,0.001528714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462529,0.0003316428,0.05119469,0.00009783286,0.000115021,0.00002799231,4.214689e-7,0.0004383626,0.00154108],"genre_scores_gemma":[0.9398803,0.00007654991,0.05997431,0.000007240355,0.00001682187,0.000004241605,0.00001404453,0.000008315667,0.00001814234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1714071,"threshold_uncertainty_score":0.2332281,"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."}}