{"id":"W4254076722","doi":"10.1002/9780470988336.index","title":"Index","year":2004,"lang":"en","type":"paratext","venue":"","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biostatistics; Index (typography); Clinical epidemiology; Medicine; Epidemiology; Library science; Family medicine; Pathology; Computer science","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":[0.0005665274,0.001334305,0.001181966,0.00468489,0.001640821,0.003685508,0.001486519,0.001755612,0.7280056],"category_scores_gemma":[0.0037018,0.0003453196,0.0004508884,0.004521118,0.0005246126,0.0019057,0.001326677,0.001414278,0.683921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144443,"about_ca_system_score_gemma":0.00162253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006831712,"about_ca_topic_score_gemma":0.01206421,"domain_scores_codex":[0.9994789,0.00008485758,0.00003798306,0.00006040999,0.0002695172,0.00006830793],"domain_scores_gemma":[0.998163,0.0003392632,0.00008040974,0.0001357952,0.0008678923,0.0004135653],"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":[0.00002838714,0.00002934057,0.0001102415,0.0001263978,0.000001463475,0.00001918057,0.0000122806,0.00006680193,0.0000848347,0.000810927,0.9592665,0.03944372],"study_design_scores_gemma":[0.00001484165,0.0000274557,0.000659643,0.0001650502,0.000003318741,0.00003442144,0.00002956506,0.000116787,0.0001021473,0.0008215114,0.9980201,0.000005209235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004682669,0.002458738,0.0006279623,0.002444321,0.007513568,0.0002065535,0.008830523,0.0009002568,0.9765499],"genre_scores_gemma":[0.0006045507,0.0008977532,0.0001384321,0.0003966597,0.0008302131,0.00003787079,0.002166692,0.0001106531,0.9948171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2719944,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095462387019223,"score_gpt":0.3166193972479363,"score_spread":0.2956647733777441,"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."}}