{"id":"W7044232440","doi":"","title":"Waterloo Park Silver Lake Spring Scenes, Waterloo ON Canada","year":2023,"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":"Spring (device); Gentry; Wife; Beaver; Flemish; German; Tribute; Character (mathematics)","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":[0.0001757907,0.0004807156,0.0002928355,0.0006837929,0.01444628,0.004217518,0.0007541012,0.0007710853,0.3144462],"category_scores_gemma":[0.0006352866,0.0004373142,0.0002090237,0.001536855,0.001134179,0.001365398,0.001804618,0.001263443,0.03224238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02068638,"about_ca_system_score_gemma":0.0337879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9585067,"about_ca_topic_score_gemma":0.996283,"domain_scores_codex":[0.9995479,0.0000216484,0.000006615828,0.00007292518,0.0001642085,0.0001866701],"domain_scores_gemma":[0.9994681,0.00001297828,0.00001147997,0.00001501805,0.0002801228,0.0002123242],"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":[0.00003193441,0.00003529723,0.002442967,0.00007094106,0.000004402397,0.0003243775,0.00166708,0.00004762199,0.0004634683,0.005359263,0.9530092,0.03654348],"study_design_scores_gemma":[0.000004123219,0.000005633543,0.004666294,0.00006785594,0.000002351747,0.00005451863,0.003628317,0.00002510366,0.00008357367,0.0001889262,0.9912646,0.00000872511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01290075,0.002655685,0.0004366339,0.00812416,0.001023137,0.0001484204,0.007392975,0.0003130563,0.967005],"genre_scores_gemma":[0.0250549,0.001484804,0.0005799331,0.001346881,0.00005478669,0.00004176996,0.001855636,0.0001964855,0.9693848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3144462,"threshold_uncertainty_score":0.9778594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006548248508000153,"score_gpt":0.1763907826805326,"score_spread":0.1698425341725325,"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."}}