{"id":"W4253776021","doi":"10.1111/ciso.12239","title":"Editors’ Note","year":2019,"lang":"en","type":"article","venue":"City & Society","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Citation; Betrayal; Library science; Media studies; History; Sociology; Computer science; Political science; Law","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":[0.01057066,0.001579919,0.003135661,0.002458487,0.005226905,0.01060367,0.00581206,0.03326607,0.06880338],"category_scores_gemma":[0.1144562,0.001314661,0.002876342,0.002276553,0.002924124,0.00518099,0.003894636,0.03061526,0.04816973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004600593,"about_ca_system_score_gemma":0.01108958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007478432,"about_ca_topic_score_gemma":0.0202768,"domain_scores_codex":[0.9877875,0.001394432,0.001419333,0.002469458,0.005452614,0.001476653],"domain_scores_gemma":[0.9449049,0.01711278,0.003714276,0.003090115,0.02579549,0.005382519],"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":[0.000008395225,0.000004560154,0.00004706631,0.00003360022,0.000005016797,0.00008496646,0.00003373346,0.000009163837,0.00002368514,0.0004620095,0.9974064,0.001881363],"study_design_scores_gemma":[0.00002212305,0.000008906274,0.0002508872,0.0001958129,0.0000178708,0.0001592567,0.0001219912,0.00006027905,0.00009832305,0.0008406922,0.998204,0.00001997668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001421308,0.001853845,0.0001728961,0.3405914,0.64884,0.00005008895,0.0002108892,0.0001062889,0.00803245],"genre_scores_gemma":[0.002112192,0.00153307,0.0005676338,0.5369499,0.3776483,0.0001917727,0.000119088,0.0001408643,0.08073714],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06880338,"threshold_uncertainty_score":0.2301702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548807446431788,"score_gpt":0.344763476628245,"score_spread":0.3192754021639271,"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."}}