{"id":"W3138367715","doi":"10.1128/jmbe.v22i1.1917","title":"A Systematic Approach to Promote Environmental Engineering Students’ Learning in Environmental Molecular Microbiology","year":2021,"lang":"en","type":"article","venue":"Journal of Microbiology and Biology Education","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cluster (spacecraft); Computer science; Course (navigation); Medical education; Mathematics education; Engineering; Medicine; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002958133,0.0001457804,0.0003025726,0.0001998778,0.0000224592,0.00001003868,0.0001232361,0.0002168182,0.0000123287],"category_scores_gemma":[0.00004704914,0.0001294956,0.00004746335,0.00009425116,0.0000428069,0.00004109316,0.00004199808,0.0003348046,0.000008548871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329489,"about_ca_system_score_gemma":0.00004273753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.282887e-7,"about_ca_topic_score_gemma":3.174911e-7,"domain_scores_codex":[0.999113,0.00009026053,0.0004134696,0.0001574895,0.00002165138,0.0002040841],"domain_scores_gemma":[0.9997168,0.0000381386,0.00007277071,0.00007993808,0.000009504086,0.0000829107],"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":[0.000005115962,0.0002004366,0.004231095,0.0005799636,0.00007787417,0.000003129945,0.0004568707,0.0007549462,0.9930518,0.00001881992,0.00004644531,0.00057348],"study_design_scores_gemma":[0.007324959,0.002736666,0.1966984,0.009435815,0.0009578657,0.0410106,0.01264169,0.005187753,0.6683702,0.0004483291,0.05079663,0.004391079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916875,0.005660181,0.001617946,0.0001208389,0.0007317847,0.0001433843,0.000006027742,0.0000161479,0.00001619228],"genre_scores_gemma":[0.9965326,0.000274507,0.002848379,0.00009354769,0.000081484,0.00001717418,0.00009942437,0.00001374751,0.00003915069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3246816,"threshold_uncertainty_score":0.5280676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003695568622145679,"score_gpt":0.1965066347269971,"score_spread":0.1928110661048514,"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."}}