{"id":"W6949037497","doi":"10.5281/zenodo.11885338","title":"Prag metro map pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Berberine and alkaloids research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Line (geometry); Train; Square (algebra); Public transport; Transit (satellite); Capital city; Quarter (Canadian coin); The Internet; Czech","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":[0.0004640633,0.001496483,0.001066852,0.002413889,0.001266067,0.004428939,0.002295953,0.001755437,0.877054],"category_scores_gemma":[0.002463339,0.0008257511,0.0008221575,0.001854295,0.000532857,0.004316844,0.003056369,0.002252602,0.8482104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000852604,"about_ca_system_score_gemma":0.00126872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567733,"about_ca_topic_score_gemma":0.002693093,"domain_scores_codex":[0.9992766,0.00004499704,0.00003169804,0.0001057471,0.0004498582,0.00009120798],"domain_scores_gemma":[0.9987986,0.0001178593,0.00005034934,0.0001791843,0.0005959694,0.0002580692],"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":[0.0001192714,0.00006873372,0.00005685898,0.0004749675,0.000005810749,0.0001803502,0.00004443551,0.0001244743,0.00318668,0.002175998,0.8810996,0.1124629],"study_design_scores_gemma":[0.00001687812,0.0000303819,0.0001771896,0.000046258,0.000002477624,0.0001239134,0.00002949037,0.00007002056,0.001308582,0.000568476,0.9976172,0.000009094262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007297258,0.001116961,0.004008397,0.001034868,0.002233809,0.0003282846,0.01121239,0.009001081,0.9703344],"genre_scores_gemma":[0.002973023,0.0009594584,0.001457336,0.0004867325,0.00040491,0.0001189474,0.006127,0.002632538,0.9848401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.122946,"threshold_uncertainty_score":0.1753675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320416331489837,"score_gpt":0.2847768482194162,"score_spread":0.2515726849045178,"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."}}