{"id":"W2885304761","doi":"10.20533/licej.2040.2589.2016.0309","title":"Evaluating the Power of CORE","year":2016,"lang":"en","type":"article","venue":"Literacy Information and Computer Education Journal","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Core (optical fiber); Power (physics); Computer science; Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02292181,0.0008107584,0.0009088469,0.004894297,0.0008730003,0.003098674,0.00129468,0.0007045909,0.006835839],"category_scores_gemma":[0.1134613,0.0002196847,0.0006262867,0.001735241,0.00143858,0.002165813,0.003970712,0.0005761503,0.001418886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783096,"about_ca_system_score_gemma":0.002135033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257983,"about_ca_topic_score_gemma":0.003122759,"domain_scores_codex":[0.9808155,0.006665598,0.001525175,0.00146838,0.008446038,0.001079362],"domain_scores_gemma":[0.8605171,0.08544034,0.008407427,0.007074238,0.03310261,0.005458421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003869734,0.001733584,0.2588361,0.001093573,0.000302772,0.0002385724,0.01130155,0.005311331,0.005152771,0.0103828,0.008646225,0.693131],"study_design_scores_gemma":[0.0006459432,0.01960403,0.767854,0.001360174,0.0008366847,0.001171282,0.02095537,0.07171711,0.03513175,0.02043675,0.06002241,0.0002645711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506183,0.0008920853,0.02146125,0.0006538064,0.0001058123,0.001658104,0.0008402725,0.0006216013,0.1231488],"genre_scores_gemma":[0.9814063,0.0001901488,0.01362662,0.00007693645,0.00002674906,0.0004530732,0.000413043,0.00005882047,0.003748182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292181,"threshold_uncertainty_score":0.1212236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373607850641019,"score_gpt":0.5151783790474126,"score_spread":0.3778175939833107,"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."}}