{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004319882,0.0001059178,0.0001074623,0.00001025652,0.0001416371,0.00004964955,0.00020202,0.0001927557,0.1357037],"category_scores_gemma":[0.00002168237,0.00002952253,0.0000430055,0.0002306296,0.00004528496,0.00003624707,0.00007933515,0.0002432183,0.03587142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001165606,"about_ca_system_score_gemma":0.00001520373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003379562,"about_ca_topic_score_gemma":0.0005497638,"domain_scores_codex":[0.9994657,0.000007059917,0.0001065177,0.000172641,0.0001313496,0.0001167371],"domain_scores_gemma":[0.9996442,0.00008107417,0.00005875655,0.00003104352,0.0001600523,0.00002492674],"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":[6.040921e-7,0.00002434827,0.0001110695,0.000001379671,0.000009823691,8.063137e-8,0.000003884207,1.382844e-7,0.002233202,0.001008223,0.9882897,0.008317605],"study_design_scores_gemma":[0.000009810624,0.00001013984,0.007511326,0.000003733036,0.000002400092,5.934575e-7,0.00008836071,4.122461e-7,0.00008906941,0.0001272444,0.9920452,0.0001117524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01386876,0.00008439943,8.822583e-7,0.003474455,0.003479646,0.00009118416,0.0001656747,0.00002435582,0.9788107],"genre_scores_gemma":[0.0303833,0.00005346478,0.00006153785,0.0006604039,0.001767751,0.00002390149,0.0007378904,3.503695e-7,0.9663114],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09983231,"threshold_uncertainty_score":0.9648793,"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."}}