{"id":"W4376111985","doi":"10.1017/9781108955898.001","title":"Preface and Acknowledgements","year":2023,"lang":"en","type":"other","venue":"","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Content (measure theory); Information retrieval; World Wide Web; Library science; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002360081,0.0009383257,0.0006348006,0.004145153,0.001854265,0.003475493,0.001283832,0.001238938,0.2573122],"category_scores_gemma":[0.02330504,0.0003192861,0.0005572519,0.002785055,0.0005823167,0.002286585,0.001605933,0.003060031,0.1793233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002914357,"about_ca_system_score_gemma":0.002503252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007589147,"about_ca_topic_score_gemma":0.005050367,"domain_scores_codex":[0.9984987,0.0002497848,0.0001649672,0.0002053855,0.0007656794,0.0001154467],"domain_scores_gemma":[0.9860512,0.002051321,0.0005992177,0.0007922564,0.00962958,0.0008764149],"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":[0.00001510896,0.000005240448,0.00002758462,0.0001137692,0.00000100868,0.00001983133,0.00004280542,0.00003391711,0.00004383715,0.002216939,0.9850118,0.01246796],"study_design_scores_gemma":[0.000003488416,0.000008889702,0.0002572052,0.0002184205,0.00000168369,0.0000235305,0.00005869874,0.00001970558,0.00004608573,0.001621203,0.997735,0.000006053827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001170174,0.02101941,0.007708247,0.08068071,0.3367027,0.001365892,0.03467758,0.002605247,0.51407],"genre_scores_gemma":[0.006842575,0.01170295,0.003182728,0.01349467,0.05420748,0.0009675556,0.01915905,0.001346967,0.889096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7426878,"threshold_uncertainty_score":0.8607951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284473286471599,"score_gpt":0.3335337996342719,"score_spread":0.3106890667695559,"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."}}