{"id":"W4237984659","doi":"10.1002/9781118269398.index","title":"Index","year":2010,"lang":"en","type":"paratext","venue":"","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco; University of Illinois at Urbana-Champaign; U.S. Geological Survey; Ministry of Education, India; York University; University of Washington; University of Southern Maine; University of California, Davis; U.S. Department of Commerce; University of Southern California; U.S. Department of Education","keywords":"George (robot); Index (typography); Chen; Library science; History; Art history; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008098454,0.000970446,0.0009328231,0.0054291,0.002114757,0.005482947,0.001363211,0.001185358,0.7603763],"category_scores_gemma":[0.007764807,0.0003242503,0.0003786903,0.006344691,0.0003823396,0.00358636,0.001980411,0.001259727,0.6539086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500486,"about_ca_system_score_gemma":0.003120164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245324,"about_ca_topic_score_gemma":0.0201565,"domain_scores_codex":[0.9990213,0.00009516013,0.00006184875,0.00009496648,0.0006452992,0.00008151378],"domain_scores_gemma":[0.995799,0.0004623391,0.0001232985,0.0002658286,0.002619764,0.0007296618],"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":[0.0000111765,0.00002448801,0.000126233,0.0001089283,6.924966e-7,0.00001350242,0.0000469557,0.00003399208,0.00006634914,0.00157886,0.9382115,0.05977736],"study_design_scores_gemma":[0.000004235011,0.00001058205,0.0005340412,0.0000870301,0.000001105714,0.00002437327,0.00007705867,0.00004679531,0.00005644835,0.0008193069,0.9983354,0.000003689702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000444038,0.00077679,0.001490146,0.002059765,0.002612382,0.0004042773,0.01850143,0.001433739,0.9722775],"genre_scores_gemma":[0.001135528,0.0005404828,0.0008341528,0.0004722892,0.0003418756,0.0001707413,0.005962707,0.0003757139,0.9901665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2396237,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371771009465916,"score_gpt":0.265530037156591,"score_spread":0.2283529362099994,"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."}}