{"id":"W4239089772","doi":"10.18438/b8c89b","title":"Announcing ISHIMR 2015!","year":2014,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006412377,0.0008711926,0.0009241464,0.002206111,0.002337449,0.004570706,0.001290762,0.006563161,0.2276442],"category_scores_gemma":[0.03499951,0.0003422629,0.0007417006,0.001009219,0.0008666806,0.002678483,0.00366696,0.004542618,0.1192913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724644,"about_ca_system_score_gemma":0.002685078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004577261,"about_ca_topic_score_gemma":0.007927716,"domain_scores_codex":[0.9958175,0.0006740328,0.0002816945,0.0003419654,0.002380923,0.0005038326],"domain_scores_gemma":[0.9866236,0.003133941,0.0009585472,0.001002652,0.006201433,0.00207983],"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":[0.00007931798,0.000009211893,0.0002649362,0.00008206409,0.000005357592,0.0000540554,0.00003572776,0.00001654077,0.00009659669,0.0006826928,0.9899057,0.008767902],"study_design_scores_gemma":[0.00002294042,0.0000632793,0.001617357,0.0002586166,0.00001572364,0.0000749984,0.0001267012,0.0001803824,0.0004421689,0.0007180783,0.9964561,0.00002353147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004442244,0.007227762,0.004279894,0.3953204,0.320908,0.0005555567,0.02337226,0.007351636,0.2365423],"genre_scores_gemma":[0.03663927,0.003331292,0.001809036,0.126368,0.04943654,0.000272884,0.0182078,0.001485686,0.7624495],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2276442,"threshold_uncertainty_score":0.7615458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067966088164853,"score_gpt":0.2334378828490037,"score_spread":0.2227582219673552,"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."}}