{"id":"W2753659138","doi":"10.47678/cjhe.v47i2.186549","title":"Searching For Signs of Life in Ontario Universities: An Innovative Method for Evaluating Biodiversity Integration within University Curricula","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Conservation, Ecology, Wildlife Education","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"Trent University; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Curriculum; Tracking (education); Biodiversity; Medical education; The arts; Graduate students; Higher education; Degree program; Library science; Sociology; Political science; Pedagogy; Computer science; Medicine; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003967707,0.0003892764,0.0004336528,0.01414161,0.002592819,0.002759229,0.0009530403,0.0004821444,0.003912508],"category_scores_gemma":[0.02302864,0.0003282943,0.0004820928,0.01731462,0.001300276,0.002151869,0.002968741,0.0004039139,0.0003751032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01167336,"about_ca_system_score_gemma":0.02701728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5596412,"about_ca_topic_score_gemma":0.7863888,"domain_scores_codex":[0.9962894,0.0005841411,0.0005913278,0.0003114599,0.001860869,0.0003628367],"domain_scores_gemma":[0.9843633,0.005157448,0.003664648,0.0006153297,0.004485291,0.001713966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002810975,0.0002085334,0.7972615,0.001335845,0.00006305906,0.0003189321,0.0563137,0.0002807643,0.003578481,0.0009716559,0.002843764,0.1365428],"study_design_scores_gemma":[0.00002661724,0.0001899044,0.9357982,0.0002146758,0.00008360884,0.0001129283,0.04047329,0.0005865786,0.00105003,0.0002828073,0.02113048,0.00005089592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740211,0.0006519383,0.002307502,0.000421978,0.00002741225,0.0008120407,0.003148879,0.0001010175,0.01850803],"genre_scores_gemma":[0.9788471,0.0009522593,0.01252291,0.00009167038,0.00001523177,0.001041381,0.002657565,0.00002894652,0.003842861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4403588,"threshold_uncertainty_score":0.8859044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07660518182156706,"score_gpt":0.3539452725242457,"score_spread":0.2773400907026786,"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."}}