{"id":"W7084623018","doi":"10.48410/yd9k-8m19","title":"Secret Feminist Agenda - Episode 1.5 - Can(n)ons & Revolutions with Andrea Hasenbank","year":2017,"lang":"en","type":"other","venue":"Summit, the SFU Research Repository","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Government (linguistics); Field (mathematics); Agency (philosophy); Work (physics); Perspective (graphical)","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":[],"consensus_categories":[],"category_scores_codex":[0.008058366,0.0006280491,0.0005141358,0.001171499,0.006915415,0.01252492,0.001791228,0.01049236,0.2060708],"category_scores_gemma":[0.01832867,0.000385843,0.0005977497,0.001452507,0.002135144,0.006192092,0.008558383,0.008936054,0.08083472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006659654,"about_ca_system_score_gemma":0.01792299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02503713,"about_ca_topic_score_gemma":0.05892114,"domain_scores_codex":[0.9949461,0.0006915546,0.000125193,0.0003098477,0.002553291,0.00137405],"domain_scores_gemma":[0.9945359,0.001199276,0.0001817937,0.0003672909,0.001541589,0.002174211],"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":[0.00001900213,0.000009892407,0.00006161765,0.00003874168,9.459131e-7,0.00004099264,0.0001986693,0.0000158138,0.0000330145,0.0210774,0.9739549,0.004549098],"study_design_scores_gemma":[0.000002867223,0.000002085465,0.0001271947,0.00006955117,5.00888e-7,0.000008565156,0.0002440273,0.000008679974,0.00005801168,0.001340811,0.9981349,0.000002844536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001692976,0.004869364,0.0005925235,0.318355,0.03552927,0.0001780253,0.006549915,0.0004332647,0.6317998],"genre_scores_gemma":[0.009297862,0.001636709,0.0004199202,0.04515388,0.003541394,0.0001876264,0.002048864,0.0004903305,0.9372234],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2060708,"threshold_uncertainty_score":0.6893756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691497515141816,"score_gpt":0.3575251568073412,"score_spread":0.2883754052931596,"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."}}