{"id":"W7002126518","doi":"","title":"Metis In Space EP#2 - Quantum Leap Freedom","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Space (punctuation); Quantum; Reservation","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":[],"consensus_categories":[],"category_scores_codex":[0.001052701,0.0004829549,0.0003142342,0.0007303248,0.001928098,0.003184668,0.0007256147,0.002668006,0.09890527],"category_scores_gemma":[0.003046194,0.0002127295,0.0003674967,0.00101713,0.001434536,0.004041452,0.003543576,0.003207826,0.02858304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076904,"about_ca_system_score_gemma":0.002809772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00584955,"about_ca_topic_score_gemma":0.01671342,"domain_scores_codex":[0.9991459,0.0002021809,0.0000463155,0.00009679842,0.0003774111,0.0001313028],"domain_scores_gemma":[0.9990595,0.0002275682,0.00006894774,0.00008052387,0.0003158075,0.0002476415],"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":[0.00001227768,0.000005060402,0.00003255396,0.0003027952,0.000002747342,0.00004510236,0.0001335606,0.00001465173,0.00009957342,0.01344329,0.9544821,0.03142629],"study_design_scores_gemma":[0.00000100384,0.000003338433,0.00004432822,0.00009281703,5.329332e-7,0.00002448277,0.00004294193,0.0000012773,0.00003375929,0.0005035496,0.9992511,9.507052e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001169234,0.2868878,0.001298023,0.1510046,0.07543848,0.0001164856,0.001380397,0.0005239117,0.4821811],"genre_scores_gemma":[0.01564906,0.1271149,0.000928271,0.06315573,0.01797368,0.0001418965,0.001126373,0.0005241408,0.7733859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09890527,"threshold_uncertainty_score":0.330871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006889509227342644,"score_gpt":0.2116883663327448,"score_spread":0.2047988571054022,"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."}}