{"id":"W7055134828","doi":"","title":"Broadside (poster) Collection: Finding Aid","year":2019,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadside; Range (aeronautics); Poetry; Data collection","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000793415,0.0005059104,0.0006583675,0.0004638548,0.0002029245,0.000276165,0.001104633,0.0005461899,0.0593261],"category_scores_gemma":[0.00002949702,0.0005273967,0.0001683763,0.0002476613,0.0001815629,0.001062255,0.0008791361,0.0002527922,0.01313211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001617018,"about_ca_system_score_gemma":0.0002752188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006849094,"about_ca_topic_score_gemma":0.00003106162,"domain_scores_codex":[0.9977491,0.0003152196,0.0002057917,0.0007862966,0.0003690378,0.0005745482],"domain_scores_gemma":[0.9984391,0.00008988295,0.0004063888,0.0008474641,0.00002356168,0.0001935813],"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":[0.0002112515,0.00003417089,0.0002639616,0.0001838231,0.00004524142,0.0001033965,0.0001297071,0.000009995662,0.002061595,0.0002075859,0.9967285,0.00002080529],"study_design_scores_gemma":[0.0006410407,0.0001040308,0.0001091798,0.0003774368,0.00005635912,0.000001582697,0.0002034382,2.641463e-7,0.04020628,0.0000110736,0.9576459,0.0006434416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02054427,0.00009013893,0.00003444157,0.01624349,0.003087915,0.001019084,0.0003212377,0.002039957,0.9566194],"genre_scores_gemma":[0.005772828,0.0001633113,0.001549317,0.0003226845,0.0004232697,0.000001575539,0.00005165588,0.0005091346,0.9912062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04619399,"threshold_uncertainty_score":0.9997644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006540564558377,"score_gpt":0.183837573534734,"score_spread":0.1737721678891502,"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."}}