{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001315313,0.00101349,0.0008390005,0.003573861,0.002174777,0.004357921,0.001953323,0.001308772,0.7020198],"category_scores_gemma":[0.006930645,0.0007994236,0.0004861834,0.006701238,0.0007696424,0.002258725,0.00233673,0.001266546,0.5443522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00804098,"about_ca_system_score_gemma":0.02108712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5859408,"about_ca_topic_score_gemma":0.7265242,"domain_scores_codex":[0.9987358,0.0001124293,0.00006558919,0.00009174777,0.0007822046,0.0002122267],"domain_scores_gemma":[0.9926191,0.000573257,0.0001623844,0.0002754628,0.005658429,0.0007114988],"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":[0.000003770798,0.000006163804,0.00005235283,0.000056783,2.784115e-7,0.000005570216,0.0000445615,0.0000433189,0.00002072189,0.000666326,0.9859906,0.01310951],"study_design_scores_gemma":[0.000003689164,0.000001951479,0.0003379363,0.00006042207,3.844072e-7,0.000008773089,0.00006506299,0.00003813721,0.00003076874,0.0002598308,0.999188,0.000005042883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000390997,0.0004432703,0.002649411,0.002069549,0.0005471908,0.000895937,0.1583572,0.008736937,0.8259095],"genre_scores_gemma":[0.002210278,0.001054478,0.005144974,0.001614522,0.0001407316,0.0009997243,0.07233693,0.004896373,0.9116021],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7020198,"threshold_uncertainty_score":0.8329953,"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."}}