{"id":"W7009553328","doi":"","title":"ELSA'S WASTED! - Reacting to [YTP] Cold 4: Elsa's Drunk Rampage","year":2015,"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":"Drunk driving; Government (linguistics); Join (topology); Poison control","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":[0.00106618,0.0007622852,0.0003920918,0.0005606504,0.01337969,0.006182442,0.001091884,0.003159573,0.2391547],"category_scores_gemma":[0.003840374,0.0003693887,0.0005269897,0.0005555805,0.002526356,0.005996952,0.00789582,0.005743661,0.1072121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045685,"about_ca_system_score_gemma":0.002089557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01731462,"about_ca_topic_score_gemma":0.06684344,"domain_scores_codex":[0.9992348,0.0002051088,0.00001686858,0.00006378923,0.0001631323,0.0003162595],"domain_scores_gemma":[0.9987081,0.0001249591,0.00006625779,0.00008242724,0.0003203757,0.0006977768],"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":[0.00003300186,0.00003098334,0.0005030419,0.00004584997,0.000003639951,0.0002707501,0.005385271,0.00001032477,0.00009546818,0.002240352,0.9759935,0.01538794],"study_design_scores_gemma":[0.000004419621,0.00001732525,0.0007517922,0.0001569939,0.000003974169,0.0001891192,0.02474632,0.00002596916,0.0001298546,0.0007138624,0.9732465,0.00001379272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01955958,0.00373564,0.001446959,0.09410086,0.01621667,0.00009645939,0.001224075,0.00201641,0.8616034],"genre_scores_gemma":[0.05091411,0.002405571,0.0007424274,0.02335567,0.001015449,0.00007881706,0.0005888032,0.001083734,0.9198153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7608453,"threshold_uncertainty_score":0.8000522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009632124595563936,"score_gpt":0.205577816317109,"score_spread":0.1959456917215451,"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."}}