{"id":"W6981534983","doi":"","title":"Episode #124 - \"Miami\" Tom Schaefer Returns!","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Favourite; Miami; Superlative; Yesterday; 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":[],"category_scores_codex":[0.0003962687,0.0006642988,0.0004342253,0.0006037143,0.005615473,0.005031237,0.0007540157,0.001903104,0.7521999],"category_scores_gemma":[0.00192402,0.0003738396,0.0003738412,0.0006986653,0.000418975,0.002683454,0.003289029,0.002464449,0.5664812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666854,"about_ca_system_score_gemma":0.001094457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190395,"about_ca_topic_score_gemma":0.1079007,"domain_scores_codex":[0.9995725,0.00003621184,0.00001006927,0.00005034666,0.0001735063,0.0001573891],"domain_scores_gemma":[0.9990785,0.00004545969,0.0000329024,0.00005182142,0.000275377,0.000515982],"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":[0.00001545368,0.00000885753,0.00005953965,0.00001987741,6.400288e-7,0.00002754904,0.00009359606,0.00000318295,0.00005715817,0.0002989227,0.9950052,0.004409972],"study_design_scores_gemma":[0.000003293208,0.000006298005,0.0003748997,0.00002873914,6.488113e-7,0.00002075821,0.0003289692,0.000006160431,0.00004972963,0.00006709234,0.9991109,0.000002432027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001679142,0.0007583286,0.0003561843,0.004889598,0.005774444,0.0002109487,0.005758273,0.001506989,0.9790662],"genre_scores_gemma":[0.003536511,0.0002969089,0.0001463855,0.001204449,0.0005362068,0.00006284126,0.002168693,0.0006667648,0.9913813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7521999,"threshold_uncertainty_score":0.3534567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111017535830898,"score_gpt":0.2311316296000919,"score_spread":0.2200298760170021,"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."}}