{"id":"W4313150976","doi":"10.51952/9781447339861.bm001","title":"Index","year":2020,"lang":"en","type":"paratext","venue":"Policy Press eBooks","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arts and Humanities Research Council","keywords":"Index (typography); Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009896208,0.0009548808,0.0008501674,0.002705791,0.002240357,0.01086096,0.001603494,0.002309983,0.5715271],"category_scores_gemma":[0.005855865,0.0003450553,0.0006494909,0.003702668,0.001032246,0.006295024,0.003474433,0.002433692,0.521285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141831,"about_ca_system_score_gemma":0.002168654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172383,"about_ca_topic_score_gemma":0.006006957,"domain_scores_codex":[0.9982501,0.000190185,0.00009500019,0.0002668878,0.001045767,0.0001520415],"domain_scores_gemma":[0.9979954,0.0002874431,0.00009993857,0.0003030484,0.0009885794,0.0003256802],"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":[0.00001678439,0.00002096243,0.0002153994,0.0001236789,0.000002716469,0.00003694642,0.000124648,0.00006124942,0.0001380211,0.02078428,0.8949691,0.08350631],"study_design_scores_gemma":[0.000001078469,0.00000452724,0.0001603304,0.00005392362,5.732611e-7,0.00003124525,0.00005972285,0.00001938501,0.00002928892,0.001804931,0.9978327,0.00000223749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003162893,0.002053331,0.001003538,0.003986347,0.004439356,0.00008603273,0.001797476,0.0004212449,0.9858964],"genre_scores_gemma":[0.001822999,0.001842481,0.0007312785,0.001373919,0.0008169477,0.00006298302,0.001574904,0.0002628092,0.9915118],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4284729,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13436545135587,"score_gpt":0.3041903387385313,"score_spread":0.1698248873826613,"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."}}