{"id":"W7053411823","doi":"","title":"Vancouver Consumer - July 14, 2018 - Kyla Lee from Acumen Law","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislation; Government (linguistics); Work (physics); Legislature","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":["insufficient_payload"],"category_scores_codex":[0.0000747744,0.0003654554,0.0003974712,0.0000363188,0.00006596934,0.00005798837,0.0003467505,0.0004518148,0.6058037],"category_scores_gemma":[0.00002445227,0.0003405664,0.0001216209,0.000006956506,0.0002442739,3.715906e-7,0.00008021825,0.0002457675,0.07794804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004427778,"about_ca_system_score_gemma":0.000011857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006315173,"about_ca_topic_score_gemma":0.005163549,"domain_scores_codex":[0.9986133,0.00002150759,0.000560575,0.0001946698,0.0002959356,0.000314017],"domain_scores_gemma":[0.9990132,0.00007027014,0.000176129,0.0005091007,0.00008888965,0.000142436],"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":[0.00001676566,0.00001835073,1.986675e-7,0.0002323648,0.00009904397,0.000002453096,0.00003923884,0.0002356262,0.000001019978,0.00007128205,0.998324,0.0009597033],"study_design_scores_gemma":[0.0003327219,0.00005124585,7.266832e-7,0.0001318326,0.00007329331,0.000003794516,0.00001480863,0.0002029054,0.00002309247,0.00003737528,0.9987313,0.0003968672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009130959,0.0005116406,0.000004911398,0.00003998846,0.0006406014,0.0003906232,0.0003897893,0.0004481803,0.9975652],"genre_scores_gemma":[0.0003112598,0.0002921421,0.002101212,0.0002785186,0.0003530734,0.00003884759,0.0001932116,0.0001817859,0.99625],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5278557,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005302629017686335,"score_gpt":0.1658805991561355,"score_spread":0.1605779701384491,"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."}}