{"id":"W6928927651","doi":"10.4224/21275411","title":"Learning and performance support systems: personal learning record: user studies white paper","year":2015,"lang":"en","type":"report","venue":"NPARC","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Context (archaeology); Learning analytics; Experiential learning; Learning Management; Work (physics); Active learning (machine learning); Learning design; Point (geometry); Online learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009463311,0.0005221099,0.0008502071,0.002259042,0.00139943,0.003257708,0.001269787,0.001209149,0.07411153],"category_scores_gemma":[0.02255379,0.0003631072,0.0004152657,0.004540524,0.0003141395,0.003754443,0.002161632,0.001135025,0.0609394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221431,"about_ca_system_score_gemma":0.002574158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685379,"about_ca_topic_score_gemma":0.02420744,"domain_scores_codex":[0.9964265,0.0008276637,0.0003009518,0.0002849142,0.001905341,0.0002545711],"domain_scores_gemma":[0.9699442,0.01038829,0.0006957827,0.006987358,0.009077746,0.002906645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002197363,0.0003264714,0.005461564,0.0002268923,0.00001823349,0.00006577928,0.0003964086,0.0002408351,0.000541629,0.0014739,0.8738025,0.117226],"study_design_scores_gemma":[0.00006864662,0.0001444941,0.01627011,0.0001409266,0.00002585044,0.0001269855,0.000333594,0.002760237,0.001893852,0.0006737505,0.9775133,0.00004834096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08108129,0.003689583,0.04018601,0.0295838,0.001698038,0.002345381,0.3759769,0.06139132,0.4040477],"genre_scores_gemma":[0.2000591,0.004209629,0.03219174,0.002944526,0.0009535616,0.001699645,0.3521399,0.009424143,0.3963777],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07411153,"threshold_uncertainty_score":0.2479277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05639547408472852,"score_gpt":0.3425176832298052,"score_spread":0.2861222091450767,"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."}}