{"id":"W2883942970","doi":"","title":"Memorial University's Learners and Locations project: A community update","year":2017,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006051593,0.0004888345,0.0006782655,0.00612187,0.002390468,0.003865939,0.002871453,0.0007788846,0.01615672],"category_scores_gemma":[0.01303602,0.0006387274,0.0004697398,0.008082055,0.0004614867,0.002724696,0.005106476,0.001249992,0.005140699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00418367,"about_ca_system_score_gemma":0.02509125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3169225,"about_ca_topic_score_gemma":0.4718166,"domain_scores_codex":[0.9976151,0.0003671146,0.0002420749,0.0003560325,0.001117499,0.0003020827],"domain_scores_gemma":[0.9781532,0.001573579,0.002112271,0.002134309,0.01161704,0.004409584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005563201,0.0008618755,0.2510925,0.0007878999,0.0001044328,0.0003207695,0.004922649,0.00042373,0.0008260987,0.001303804,0.486778,0.2520219],"study_design_scores_gemma":[0.0002822999,0.0002473975,0.3749203,0.0006431963,0.0001075124,0.0002276214,0.01116981,0.001311275,0.001115708,0.0004367503,0.6094095,0.0001286191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2391794,0.0009010825,0.007177643,0.004693461,0.0003245453,0.004261878,0.7066628,0.003936827,0.0328624],"genre_scores_gemma":[0.2743176,0.001962251,0.08549032,0.001654881,0.0003274242,0.009866015,0.5628871,0.001942424,0.061552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6830776,"threshold_uncertainty_score":0.6301556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861757808184311,"score_gpt":0.3060628195404317,"score_spread":0.2774452414585886,"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."}}