{"id":"W6910663048","doi":"10.48660/22100072","title":"Perimeter Researcher Talk - 'Into the woods ... ... and through the trees to gravity, amplitudes, and CFTs'","year":2022,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Field (mathematics); Tree (set theory); Window (computing); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00321279,0.0006218505,0.0006457197,0.001515054,0.006260411,0.005445885,0.001015608,0.002379542,0.437728],"category_scores_gemma":[0.00928011,0.0005185127,0.0003255997,0.001672937,0.00182717,0.00418955,0.00420915,0.004218271,0.2384229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002227852,"about_ca_system_score_gemma":0.003196238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022686,"about_ca_topic_score_gemma":0.03678953,"domain_scores_codex":[0.9988538,0.000439098,0.00004616527,0.000138025,0.0003655798,0.0001573302],"domain_scores_gemma":[0.9949908,0.001642533,0.0001223208,0.0003914206,0.00176947,0.001083535],"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":[0.00003056045,0.00001137782,0.0002577605,0.00006631028,0.000001084095,0.00004686515,0.00255433,0.00001101494,0.0001269627,0.01366139,0.9675263,0.01570608],"study_design_scores_gemma":[0.000006692056,0.000005238018,0.0003052469,0.00006436145,0.000001267787,0.00003647585,0.003706076,0.00002624019,0.00009025491,0.002078954,0.9936739,0.000005247858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001758014,0.0006405268,0.002135289,0.02624084,0.00378242,0.0001626014,0.005004698,0.0008051324,0.9594705],"genre_scores_gemma":[0.007116846,0.0003129126,0.001036867,0.003564144,0.0003032795,0.0001881427,0.0008594221,0.0008713529,0.985747],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.437728,"threshold_uncertainty_score":0.8020128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03969435567350828,"score_gpt":0.329881968925306,"score_spread":0.2901876132517977,"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."}}