{"id":"W7051355578","doi":"","title":"Open, Get Ready! Public and Academic Libraries' Support for Open Education in Canada","year":2017,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open education; Higher education; Public education; Government (linguistics); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003165872,0.0003085246,0.000700632,0.00008309956,0.0003586645,0.005659647,0.003607548,0.0002173614,0.7892456],"category_scores_gemma":[0.00001698081,0.0005378506,0.00005574053,0.000241263,0.0001073808,0.0007210988,0.002965758,0.0009433241,0.000009189233],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008749888,"about_ca_system_score_gemma":0.04365029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803547,"about_ca_topic_score_gemma":0.9958073,"domain_scores_codex":[0.9965811,0.0001562054,0.0004879991,0.0009893558,0.0002980696,0.001487222],"domain_scores_gemma":[0.9981905,0.0001398326,0.0004617258,0.0008216932,0.0000343378,0.0003519237],"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":[0.00001112362,0.00005253816,0.01740516,0.00003785645,0.00005174959,0.000003948839,0.00000220473,1.212118e-7,4.820902e-8,0.03453717,0.6059577,0.3419404],"study_design_scores_gemma":[0.001232643,0.000125364,0.0007706434,0.000435827,0.00002234942,0.000005635462,0.00003367422,0.0000859124,6.167044e-7,0.06618808,0.9305748,0.000524418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006245469,0.003608933,0.000002910832,0.001793982,0.0003690285,0.005220857,0.0005257863,0.00004542593,0.9883706],"genre_scores_gemma":[0.01942522,0.001621004,0.0004965605,0.0008238937,0.001262687,0.002133148,0.004396467,0.0003860806,0.9694549],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7892364,"threshold_uncertainty_score":0.9997073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419337168687113,"score_gpt":0.258564835957579,"score_spread":0.2443714642707078,"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."}}