{"id":"W6990861645","doi":"","title":"Ep.52 - Hark! Kate Beaton","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartoonist; Ephemera; Supporter; Insignificance; Alliance; George (robot)","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":["insufficient_payload"],"category_scores_codex":[0.0002882638,0.0005222143,0.0003088512,0.0006033343,0.003040274,0.004275965,0.0006018666,0.001427558,0.7795104],"category_scores_gemma":[0.001820573,0.0003630511,0.0002042211,0.0006590352,0.000489404,0.00323708,0.003282102,0.002055604,0.6944678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002208,"about_ca_system_score_gemma":0.0008188604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123556,"about_ca_topic_score_gemma":0.04078306,"domain_scores_codex":[0.9997472,0.00003237665,0.000006528221,0.00003289097,0.0001096856,0.00007126285],"domain_scores_gemma":[0.9995065,0.00006020461,0.00002078813,0.000043235,0.0001734532,0.0001958772],"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":[0.000005906659,0.000003336601,0.00002643747,0.00001642965,2.808835e-7,0.00002502665,0.00007021938,0.000004333517,0.00002456442,0.0009148248,0.9886,0.01030862],"study_design_scores_gemma":[0.000001020202,0.000001429592,0.0001056916,0.00002256051,2.18241e-7,0.00002407752,0.0001357041,0.000005610888,0.00001935946,0.0001566295,0.9995259,0.00000173381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002557735,0.0007140645,0.0001983001,0.002279879,0.001854525,0.00002762262,0.0008730819,0.000572202,0.9932246],"genre_scores_gemma":[0.0007024885,0.000147496,0.00003653506,0.0005056104,0.00006205543,0.000008788758,0.0001445523,0.0001994272,0.998193],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2204896,"threshold_uncertainty_score":0.3145016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006178927158943096,"score_gpt":0.1869713186754217,"score_spread":0.1807923915164786,"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."}}