{"id":"W2420343800","doi":"10.18438/b86g8g","title":"We Want You to Hear From Us, and We Want to Hear from You!","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Internet privacy; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004922695,0.001062894,0.001006555,0.001117456,0.00740149,0.01010936,0.001098996,0.005956755,0.1210936],"category_scores_gemma":[0.03336084,0.0005323188,0.0009056648,0.0009751929,0.00465925,0.01096087,0.006796131,0.0138718,0.1193558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247576,"about_ca_system_score_gemma":0.004593947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003869406,"about_ca_topic_score_gemma":0.006843985,"domain_scores_codex":[0.9945274,0.001736402,0.0004309168,0.0006409022,0.001829509,0.0008348734],"domain_scores_gemma":[0.9753803,0.005038567,0.001638546,0.00119611,0.00948145,0.007265047],"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":[0.00008775073,0.0001055581,0.001318702,0.000249132,0.00001406952,0.0002202217,0.002165226,0.00002286538,0.0005384876,0.003124576,0.9372294,0.05492404],"study_design_scores_gemma":[0.00002264053,0.00007625389,0.001490175,0.0005216144,0.00001617595,0.0006276881,0.00947296,0.00004188906,0.000358581,0.003583513,0.9837272,0.00006135458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003456137,0.01538348,0.003413005,0.784658,0.07309294,0.00009400443,0.0002855473,0.0009142039,0.1187026],"genre_scores_gemma":[0.04049257,0.01343603,0.005685364,0.3627173,0.02504535,0.0002585381,0.0003273026,0.0009363582,0.5511012],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1210936,"threshold_uncertainty_score":0.4050984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836063412033171,"score_gpt":0.3382686283651992,"score_spread":0.3099079942448675,"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."}}