{"id":"W7135466350","doi":"","title":"Belfast Before Flood","year":2023,"lang":"en","type":"other","venue":"Research Portal (Queen's University Belfast)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Storytelling; Quarter (Canadian coin); Sustainability; Set (abstract data type)","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":[0.0006294477,0.0006465045,0.0003512254,0.0006046927,0.007883249,0.005970896,0.0009382644,0.00222968,0.6419172],"category_scores_gemma":[0.001645042,0.0005004499,0.000439634,0.0007946683,0.001097918,0.003114677,0.004544064,0.002467761,0.2506894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005457136,"about_ca_system_score_gemma":0.003510347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1324021,"about_ca_topic_score_gemma":0.3966326,"domain_scores_codex":[0.9993547,0.00006951514,0.00001210949,0.0001030719,0.0001861198,0.0002745588],"domain_scores_gemma":[0.9990558,0.00006431064,0.00002565344,0.00008163811,0.0002082002,0.0005644686],"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":[0.00007351341,0.00001501031,0.0002247207,0.00007565157,0.000001708609,0.0001298861,0.001166534,0.00002557789,0.000237455,0.005420661,0.9793703,0.01325901],"study_design_scores_gemma":[0.000003120787,0.000004967608,0.0004036454,0.00001986039,4.24741e-7,0.00001685972,0.0005188911,0.000003673246,0.00004927162,0.0001685455,0.9988068,0.000003905038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002780404,0.0008531256,0.0005185495,0.005359739,0.002355744,0.00008198824,0.007857503,0.0009431086,0.9792499],"genre_scores_gemma":[0.01058611,0.0002359865,0.0002991405,0.0009076315,0.0001146137,0.00003934196,0.001698489,0.0005982321,0.9855204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6419172,"threshold_uncertainty_score":0.5107617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525978011198447,"score_gpt":0.2930000627080633,"score_spread":0.2677402825960788,"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."}}