{"id":"W4232892662","doi":"10.1002/9781119096276.index","title":"Index","year":2016,"lang":"en","type":"paratext","venue":"Advances in chemical physics","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; Index (typography); Engineering physics; Engineering; 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":[0.0003375339,0.001262362,0.001288634,0.001514811,0.001257115,0.003608301,0.001376365,0.001287026,0.392462],"category_scores_gemma":[0.002097989,0.0002871825,0.0004459473,0.003000211,0.0006980012,0.002679698,0.001330968,0.001346568,0.217032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447378,"about_ca_system_score_gemma":0.0008359187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888435,"about_ca_topic_score_gemma":0.002533525,"domain_scores_codex":[0.9994993,0.00004667915,0.00002969122,0.0001224657,0.0002541269,0.00004773865],"domain_scores_gemma":[0.9994529,0.00010256,0.00002666009,0.0000771971,0.0002371708,0.0001034418],"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":[0.00008578927,0.00006919669,0.000175191,0.000765614,0.00001686178,0.00008021508,0.00006807467,0.001195981,0.002270782,0.0557787,0.6494145,0.290079],"study_design_scores_gemma":[0.00001590242,0.00003565666,0.0002688728,0.0001801431,0.00001045894,0.00007604308,0.00003825685,0.002453876,0.0007074603,0.04472534,0.9514703,0.00001769763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002663636,0.01416691,0.0421637,0.004036364,0.02898975,0.0003610451,0.005515977,0.002099421,0.9000033],"genre_scores_gemma":[0.02249882,0.007605719,0.0135402,0.001548156,0.006311556,0.000336525,0.005253912,0.0009783624,0.9419267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.607538,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020562210324832,"score_gpt":0.2869509381274311,"score_spread":0.2767453160241827,"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."}}