{"id":"W6930865228","doi":"10.5281/zenodo.15186793","title":"Fix Canada Real Quick","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Identification (biology); Key (lock)","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":["insufficient_payload"],"category_scores_codex":[0.001473777,0.001796641,0.0008216454,0.00357833,0.002246957,0.00505156,0.003455626,0.002274739,0.9096175],"category_scores_gemma":[0.01360724,0.001366615,0.0008391852,0.002621677,0.001090623,0.003635059,0.006030543,0.002355314,0.8401265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004294651,"about_ca_system_score_gemma":0.006967467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1188207,"about_ca_topic_score_gemma":0.2116565,"domain_scores_codex":[0.9984077,0.00007531619,0.00005191677,0.0001716797,0.000974649,0.0003188585],"domain_scores_gemma":[0.9881489,0.0008847488,0.0002945844,0.001985909,0.006582641,0.002103352],"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":[0.00003676706,0.00000653299,0.000048785,0.00004520295,0.000001532843,0.00001443162,0.00001402154,0.00002831949,0.0000919056,0.0005184867,0.9814326,0.01776131],"study_design_scores_gemma":[0.0000255877,0.000005475735,0.0001520238,0.00003581384,0.000001814636,0.00005378797,0.00002539262,0.00006985665,0.0003383336,0.0003970591,0.9988781,0.00001680557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009016985,0.0008738087,0.01259443,0.003656157,0.003144882,0.0007701405,0.07617473,0.1921324,0.7097518],"genre_scores_gemma":[0.005425553,0.0007009656,0.009810012,0.001824039,0.0004481561,0.0003865325,0.03714751,0.107335,0.8369223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8811793,"threshold_uncertainty_score":0.2362581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194924512819564,"score_gpt":0.2478240072114013,"score_spread":0.2283315559294449,"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."}}