{"id":"W7052313368","doi":"","title":"The Rouleau Report --- The Daily Beaver Morning Show","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Wish; Romance; Morning; Beaver","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":[0.001082313,0.0007431,0.0003927134,0.001035867,0.004029053,0.006848326,0.0008767382,0.00181068,0.5192133],"category_scores_gemma":[0.006040146,0.0004992235,0.0003782063,0.0009108104,0.0006472033,0.00405636,0.003588586,0.002804904,0.3455914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952936,"about_ca_system_score_gemma":0.002195985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0270024,"about_ca_topic_score_gemma":0.05597591,"domain_scores_codex":[0.9988877,0.0001753112,0.00002957392,0.0001199708,0.0005780027,0.0002095041],"domain_scores_gemma":[0.9979159,0.0002359251,0.0001011072,0.000195236,0.0009024428,0.0006493181],"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":[0.00001089744,0.000009875994,0.00009712496,0.00001884299,9.589661e-7,0.000041432,0.00009572593,0.000006782184,0.0000462647,0.0008979226,0.9900057,0.008768604],"study_design_scores_gemma":[0.000001055657,0.000004369387,0.0003007794,0.00002959179,6.186108e-7,0.00002451279,0.0001951463,0.000009037001,0.0000607044,0.00006866617,0.9993016,0.000003905139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002215717,0.002566859,0.0005608514,0.01111669,0.008384222,0.0001232147,0.003088968,0.002071213,0.9698722],"genre_scores_gemma":[0.006817093,0.000938633,0.000279071,0.001390272,0.0005488303,0.00004634641,0.001081478,0.000876912,0.9880214],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5192133,"threshold_uncertainty_score":0.6857839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005220139510765165,"score_gpt":0.1744530365344776,"score_spread":0.1692328970237125,"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."}}