{"id":"W3157203619","doi":"","title":"Subject Guides: 2SLGBTQ+ Resources: Home","year":2020,"lang":"en","type":"libguides","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Subject (documents); Business; Public relations; Political science; Computer science; Library science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003037633,0.0004024703,0.0006572648,0.0001765644,0.0001175038,0.000109886,0.0003650626,0.0004500544,0.002053622],"category_scores_gemma":[0.0009176023,0.000341264,0.0002553262,0.000272315,0.00004075143,0.00009850359,0.0001180699,0.0003931108,0.0004858423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008886943,"about_ca_system_score_gemma":0.00009484249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001928871,"about_ca_topic_score_gemma":0.0001145917,"domain_scores_codex":[0.9977612,0.00009326048,0.0008445229,0.0004505874,0.0005537398,0.000296633],"domain_scores_gemma":[0.9981416,0.0005458337,0.0004469291,0.0005724884,0.0001506012,0.0001425303],"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":[0.00001125715,0.00002447673,0.000181918,0.00064733,0.00005906783,0.00001157134,0.0004358622,0.000004970186,0.000003684156,0.05339915,0.9424629,0.002757885],"study_design_scores_gemma":[0.0002300161,0.00004665572,0.0002528366,0.0002167753,0.000117848,0.00001079127,0.00008081958,0.001083342,0.00001357862,0.09826031,0.8992435,0.0004434737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001615302,0.001392818,0.01911812,0.01161948,0.002378618,0.001516252,0.0005955966,0.002253392,0.9595104],"genre_scores_gemma":[0.02812763,0.001119841,0.2004207,0.008124081,0.01294748,0.0001739337,0.005767343,0.0009933944,0.7423256],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2171848,"threshold_uncertainty_score":0.9999039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08817005230344806,"score_gpt":0.3341948726917622,"score_spread":0.2460248203883142,"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."}}